cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Frieyadie
Contact Email
jurnal.inti@nusamandiri.ac.id
Phone
-
Journal Mail Official
jurnal.inti@nusamandiri.ac.id
Editorial Address
-
Location
Kota adm. jakarta pusat,
Dki jakarta
INDONESIA
INTI Nusa Mandiri
Published by PPPM Nusa Mandiri
ISSN : 02166933     EISSN : 2685807X     DOI : -
Core Subject : Science,
Computer Science & IT
The INTI Nusa Mandiri Journal is intended as a media for scientific studies on the results of research, thought and analysis-critical studies on the issues of Computer Science, Information Systems and Information Technology, both nationally and internationally. The scientific article in question is in the form of theoretical review and empirical studies of related sciences, which can be accounted for and disseminated nationally and internationally.
Arjuna Subject : -
Articles 234 Documents
 16   17   18   19   20 
PENERAPAN MODEL WATERFALL DALAM MERANCANG APLIKASI PEMILIHAN SISWA TELADAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Hidayatun, Nunung; Murtina, Hidayanti; Susafa’ati, Susafa’ati
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5561

Abstract

By having exemplary students, it is hoped that students at school will have good role models in all aspects. Unfortunately, subjective selection because it is done using voting can lead to unhealthy competition. So far, the selection of exemplary students begins with the selection of students with the highest average scores, then looks at the student's activity and record of violations which culminates in a vote carried out in the exemplary student selection meeting. Voting at the end of the election can cause the selection of exemplary students to no longer be objective and no longer fair. The application design will use the waterfall method by implementing the SAW method as a method used to help make decisions. The criteria used are 7 criteria in accordance with school policy and the results of this analysis, first the system is able to record all students who will be alternative exemplary students and also the criteria set in accordance with school policy. Second, by implementing a decision support system using CBIS, it can minimize the objectivity and complexity of stakeholders in making decisions and can increase data accuracy. Third, based on the management using this decision support application, an alternative ranking of exemplary students was obtained with the first alternative position being Siska Azzahra Shafa with a total score of 19,790, the second alternative being Andrawan Erlang Padana with a total score of 19,654 and the third being Ichsan Sandi with a total score of 19,645.
ANALISA DAN PERANCANGAN UI/UX APLIKASI PENJUALAN BESI BETON MENGGUNAKAN METODE DESIGN THINKING Fani, Priti; Handayani, Rani Irma
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5562

Abstract

The world of technology today greatly affects human life. Technological advances, especially in the field of information technology, are increasing every year. PT Sumber Jaya Maju Gemilang provides a variety of reinforced concrete products to meet the needs of different consumers for projects, factories, and other construction. During the sales process, it is still done manually, which hinders business because it takes a lot of time and causes errors in processing and reporting transaction data. Because of these problems, a new design for the Sales of Reinforced Concrete website must be designed using the design thinking method. The purpose of this study is to assist in creating sales applications that meet user needs and improve user experience. The results of the study show that the empathy stage, namely determining and observing previous cases, one of the problems that can be concluded from the empathize process is the company's low level of awareness of their service users. In the previous stage, the idea was to create an application that could handle the problems of people who wanted to order iron and delivery of goods but did not have much time or did not want to queue for a long time. At this stage, the prototype must rearrange the flow of iron sales and delivery of goods so that it is easier, and create a pattern for creating features in the application. In the final stage, the application trial process is carried out using the digital prototype in the Figma Application.
IMPLEMENTASI METODE WATERFALL DAN SYSTEM USABILITY SCALE TESTING PADA APLIKASI FISIOTERAPI PASIEN BPJS Putra, Budi Permana; Satria, Budy; Murni, Aprilia; Surya, Candra; Sakinah, Putri
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5571

Abstract

The background of the problem in this study is that Physiotherapy Services at Permata Hati Hospital for BPJS patients are carried out scheduling or physiotherapy protocol data by writing on the form paper provided and then given to the patient. Besides being given to the patient, the form is also stored by the physiotherapy poly section. The problem that often occurs is that the physiotherapy poly officer must also rewrite the BPJS patient's physiotherapy protocol data in the ledger as data for the next physiotherapy schedule. If you want to find physiotherapy protocol data, it is difficult to do because you have to look one by one in the ledger. The purpose of this research is to make it easier for poly officers to process physiotherapy protocol data in a computerized manner through the design of BPJS patient physiotherapy protocol data applications at Permata Hati Hospital by applying the waterfall method and System Usability Scale (SUS). The results showed that in blackbox testing, the results were obtained in accordance with what was expected starting from the login form test to the patient data input form. Furthermore, testing using the SUS method obtained an average value of 70.75 with a total of 10 respondents and a total of 10 statements. There are 3 components of the System Usability Scale method, namely Acceptable, Grade Scale and Adjective, each component of the results is still at a good value and the level of application is quite comfortable to be used by users.
MENGUKUR KEPUASAN MAHASISWA DALAM MENGGUNAKAN APLIKASI MUSIC STREAMING MENGGUNAKAN METODE AHP Rakhmah, Syifa Nur; Leidiyana, Henny
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5577

Abstract

Online streaming applications are currently very popular among the public, especially students. Because of this user interest, the author wanted to conduct research. This research uses the AHP method to measure students' level of satisfaction with the use of music streaming applications. The research evaluation criteria included quality, service, price and payment. Questionnaires are used to determine student preferences and assessment of related criteria. The collected data was analyzed using the AHP method and the application priorities were compared. These findings will help developers and users improve quality and user experience. The research was conducted using the Analytical Hierarchy Process (AHP) methodology on students in the Bekasi City area with a population of 7058 people and obtained a sample size of 379 respondents using the Slovin formula. The research results show that Spotify is the most popular music streaming application among users, especially students. Followed by applications such as Joox and YouTube.
AUDIT SISTEM INFORMASI MANAJEMEN SEKOLAH MENGGUNAKAN FRAMEWORK COBIT 4.1 Saryoko, Andi; Fitri, Evita; Nugraha, Siti Nurhasanah; Elyana, Instianti; Aziz, Faruq
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5578

Abstract

The School Management Information System (SIMS) has brought many benefits, even though it has been implemented, SMPIT Ajimutu Global Insani Bekasi faces several challenges and problems that require special attention, including limitations in IT Strategic Planning, Less Optimal IT Risk Management, Evaluation of Automation Solutions, Security Information Systems, IT Service Performance Measurement, IT Governance have not been fully implemented in their entirety. This article discusses the application of the COBIT 4.1 framework in conducting SIMS audits at SMPIT Ajimutu Global Insani Bekasi. This research aims to assess the suitability of the information system with the school's strategic objectives, identify strengths and weaknesses in its management, and provide recommendations for improvement. The methodology used includes evaluation of the four main domains in COBIT 4.1: Planning and Organization (PO), Acquisition and Implementation (AI), Delivery and Support (DS), and Monitoring and Evaluation (ME). The audit results show that although SIMS has provided significant benefits, there are several areas that require improvement, such as IT strategic plan documentation, risk management, evaluation of automation solutions, information system security, IT service performance measurement, and IT governance. Based on these findings, recommendations for improvement are provided which include improving documentation and communication, developing formal processes for risk management, routine evaluation of automation solutions, improving security policies, establishing more comprehensive performance metrics, and strengthening IT governance.
ANALISIS SENTIMEN PERKEMBANGAN MOTOR LISTRIK MENGGUNAKAN SUPPORT VECTOR MACHINE DAN OPTIMASI PARTICLE SWARM OPTIMIZATION Ginabila, Ginabila; Fauzi, Ahmad; Pratiwi, Risca Lusiana; Fauziah, Siti; Alfianti, Zulia Imami
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5579

Abstract

Innovation in electric motor technology such as increased range, speed, and battery endurance can attract interest from individuals fascinated by the latest advancements. Sentiment analysis enables a profound understanding of consumer perceptions towards electric motors. In this study, Support Vector Machine (SVM) is employed as a classification tool to evaluate opinions on current developments in electric motors. SVM seeks an optimal hyperplane that maximizes the distance between sentiment categories. The development of sentiment analysis methods utilizes SVM with Particle Swarm Optimization (PSO) to successfully achieve an accuracy of 80.33% and obtain a Good Classification category based on ROC Curve results. This research provides insights into consumer perceptions of electric motor technology, offering valuable feedback for manufacturers in the development of superior electric motor products. Leveraging sentiment analysis, manufacturers can enhance product improvements, increase quality, and expand functionality to meet the evolving market demands.
IMPLEMENTASI TEKNIK SMOTE UNTUK MENGATASI IMBALANCE CLASS DALAM KLASIFIKASI SENTIMEN MENGENAI CHATGPT Indrayuni, Elly; Nurhadi, Acmad
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5595

Abstract

ChatGPT is a chatbot or computer program in the form of a virtual robot that can simulate human-like conversations. ChatGPT is widely used in various fields in academia. The impact of the use of ChatGPT on academia and public perception of this technology is significant. Sentiment analysis can be used to determine the polarity of a text or opinion that is positive or negative. In this research, social media is used as a data source to collect public opinion regarding ChatGPT instantly. The methods used in this reserach are the KNN algorithm and Naive Bayes algorithm. The aim of this research is to find the best algorithm model for sentiment classification in terms of public opinion for ChatGPT which contains English text. Before testing the algorithm model, a text processing stage was carried out which included the processes of case folding, tokenizing, stopword removal, and stemming. Word weighting using TF-IDF was carried out before the data was ready to be processed. Splitting data used in this research includes 80% of the dataset as training data and 20% of the dataset as testing data. The application of the SMOTE technique to the KNN and Naive Bayes algorithms to overcome the imbalance class of the public opinion dataset regarding ChatGPT. The research results show that combining SMOTE and Naive Bayes algorithm gives the best results with an accuracy value of 85.00%, a precision value of 87.64%, a recall value of 84.78% and an f1-score of 86.18%.
PERANCANGAN APLIKASI INFORMASI PENDAKIAN GUNUNG DI INDONESIA BERBASIS ANDROID DENGAN MENGGUNAKAN METODE PROTOTYPE Fauzi, Aditya Ahmad; Adisuputra, Adisuputra
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5601

Abstract

Nowadays, more and more teenagers and adults are interested in mountain climbing. Climbers are keen to find information about the routes and mountains they will be climbing. However, many mountaineers complain that the information they get about climbing routes is not accurate or complete. The information currently available is only general information and does not have accurate data such as coordinate points, mountain profiles, transportation facilities, and other facilities that help climbing. To solve this problem, Object Oriented Design (OOD) and Prototype system development methods were used to create an Android-based Indonesian mountaineering information application. The application was developed using Android Studio and designed to provide comprehensive information for mountaineers, including paths to the mountain, photo galleries, current news about the mountain to be climbed, climbing posts, and geographical locations. The study resulted in contributions in various aspects that can improve the safety and comfort of mountaineers in Indonesia. With more accurate and complete information and the utilization of modern technology, this application supports mountaineering activities significantly. Climbers not only get better guidance but also feel safer and more comfortable in pursuing their hobby.
PENERAPAN HYPERPARAMETER MACHINE LEARNING DALAM PREDIKSI GAGAL PINJAM Ismunandar, Dinar; Firdaus, Muhammad Rifqi; Alkhalifi, Yuris
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5612

Abstract

Loans or credit are one of the key factors in advancing the economy. One of them is encouraging business expansion which will have a direct impact on a country's economic growth. Banks and other financing institutions must be able to evaluate the borrower's ability to pay their debts based on the inherent risks to reduce the possibility of default. To this end, machine learning (ML) has emerged as a revolutionary tool in using advanced prediction methods to examine historical data based on customer behavior. This research investigates the application of ML in predicting loan outcomes by optimizing parameters in the Machine Learning algorithm. The ML algorithms examined in this research are Logistic Regression (LR), K-Nearest Neighbor (KNN), Random Forest (RF), Decision Tree (DT), and XGBoost (XGB). Meanwhile, the technique used in hyperparameter tuning is Grid Search Cross Validation (CV). The results show that the algorithm's performance is more optimal than before, it can be seen that the LR algorithm experienced an increase in accuracy of 5%, KNN by 4%, RF by 3%, DT by 3%, and XGB by 2%. By including a default dataset based on customer behavior and optimized algorithm parameters, apart from being able to answer the alignment in previous literature in providing a deeper understanding of loan estimation, this research can also provide an understanding that hyperparameter techniques are worth trying to improve the performance of ML algorithms. So, it will be easier for financing institutions to determine the right loan scenario.
SISTEM INFORMASI POS PELAYANAN TERPADU BERBASIS WEBSITE MENGGUNAKAN METODE EXTREME PROGRAMMING Ermawati, Erni; Indriyanti, Indriyanti; Ichsan, Nurul; Wahyuni, Tri; Fatah, Haerul
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5644

Abstract

The problem in this research is that the technical notification of Posyandu schedules is still done verbally by word of mouth among the community and is also only announced via loudspeakers at local mosques. This method makes the dissemination of information related to the Posyandu schedule less effective. The main problem that often arises is that there are still parents who don't know the Posyandu schedule, there are even parents who forget the Posyandu schedule. The aim of this research is to make it easier for cadres to convey information and make it easier for parents to receive information about posyandu activity schedules via WhatsApp Blast. This research uses the Extreme Programming method which consists of 4 stages, namely planning, designing, coding and testing. Extreme Programming is a method that is considered effective in its application because it can produce a system that is fast and responsive to changing needs. The result of this research is a posyandu information system based on WhatsApp Blast which was created based on extreme programming stages. Functional testing using the Black Box method shows that the system has met expectations.

Page 18 of 24 | Total Record : 234

 16   17   18   19   20 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol. 20 No. 2 (2026): INTI Periode Februari 2026 Vol. 20 No. 1 (2025): INTI Periode Agustus 2025 Vol. 19 No. 2 (2025): INTI Periode Februari 2025 Vol. 19 No. 1 (2024): INTI Periode Agustus 2024 Vol. 18 No. 2 (2024): INTI Periode Februari 2024 Vol 18 No 1 (2023): INTI Periode Agustus 2023 Vol 17 No 2 (2023): INTI Periode Februari 2023 Vol 17 No 1 (2022): INTI Periode Agustus 2022 Vol 16 No 2 (2022): INTI Periode Februari 2022 Vol 16 No 1 (2021): INTI Periode Agustus 2021 Vol 15 No 2 (2021): INTI Periode Februari 2021 Vol 15 No 1 (2020): INTI Periode Agustus 2020 Vol 14 No 2 (2020): INTI Periode Februari 2020 Vol 14 No 1 (2019): INTI Periode Agustus 2019 Vol 13 No 2 (2019): INTI Periode Februari 2019 Vol 13 No 1 (2018): INTI Periode Agustus 2018 Vol 12 No 2 (2018): INTI Periode Februari 2018 Vol 12 No 1 (2017): INTI Periode Agustus 2017 Vol 11 No 2 (2017): INTI Periode Februari 2017 More Issue