JURNAL ILMIAH INFORMATIKA

ANALISIS TINGKAT KEPUASAN PELANGGAN TERHADAP PELAYANAN CONTACT CENTER PLN 123 MENGGUNAKAN METODE PIECES

Andi Shosa — 2025-09-10

As the demands for quality service in the digital era increase, strategic companies such as PT. PLN (Persero) utilize Contact Center 123 as the front line of communication with customers. The background of the success of other digital innovations such as the PLN Mobile application which has been proven to significantly increase customer satisfaction, emphasizes the urgency of continuous evaluation of all service channels. This study aims to measure the level of customer satisfaction with the PLN 123 Contact Center service and provide strategic recommendations for improving quality in the future. The method used is a comprehensive analysis with the PIECES framework, which evaluates six dimensions: Performance, Information, Economy, Control, Efficiency, and Service. The results of the study showed very satisfactory system performance, with all dimensions achieving a level of conformity above 90%. The Control aspect obtained the highest score (94.81%), while the Efficiency aspect was recorded as the lowest (90.26%). Although the overall performance was very good, these findings indicate that there is clear room for improvement in the efficiency area to improve the customer experience.

SISTEM INFORMASI LAYANAN WARTAWAN (SILAW) PADA KEPOLISIAN DAERAH SUMATERA SELATAN

Syafiq Muhammad Alif — 2025-09-10

The Public Relations Section of the South Sumatra Regional Police has an important role in establishing communication with the media, especially in the process of registering and attending journalists at press release activities. However, the process that is still carried out manually creates various obstacles, such as the accumulation of physical documents, delays in the verification process, the risk of losing data, and the potential for errors in recording attendance. Based on these problems, this study aims to design and implement a web-based Journalist Service Information System (SILAW) to automate all administrative processes involving journalists. The development method used is the prototyping approach, which includes the stages of requirements gathering, prototyping, user evaluation, system coding, and testing. The system was developed using PHP programming language and PhpMyAdmin database. The implementation results show that this system can improve operational efficiency, speed up the registration process, minimize the risk of data loss, and facilitate the process of recording and reporting journalists' attendance. SILAW provides online registration, digital document management, file validation, automatic attendance recording, and systematic activity report generation. With the implementation of this system, the management of relations between PR and media becomes more effective, structured, and responsive. This research makes a real contribution to the digitization of public services in the police environment, and becomes a model that can be applied in similar agencies.

PERANCANGAN UI/UX APLIKASI MOBILE PANGAUBAN KARINDING DENGAN MENGGUNAKAN FIGMA

Novitasari Ramadhani Lubis — 2025-09-10

This study aims to design the User Interface (UI) and User Experience (UX) of the Pangauban Karinding mobile application as a medium for preserving the art and education of traditional Sundanese musical instruments. Pangauban Karinding functions as a digital space that documents, archives, and shares the dynamics of perkarinding strategically and sustainably. Although this platform is already available in the form of a website, the development of a mobile version was carried out to increase accessibility and user engagement, especially among the younger generation who are more familiar with mobile devices. The method used is a prototyping approach with the help of the Figma application, which supports the process of making wireframes, interface design, and testing interactive prototypes. The application design is carried out through the stages of analyzing user needs, creating navigation and display structures, and evaluating functionality through user feedback. The final results show that the proposed UI/UX design is able to provide a more structured, informative, and attractive user experience than the previous platform. With this application, the preservation of the Karinding culture is not only packaged in an educational way, but also adaptive to the development of technology and the digital behavior of today's society.

PEMBUATAN WEBSITE INVENTARIS BARANG DI KOBER AULIA

Thomas Lazuardi Muhammad — 2025-09-10

The Goods Inventory Website is a website-based application used to manage and track stock of goods or assets in an agency in Kober Aulia, an important means to provide convenience for teachers to record goods in Kober Aulia. Managing goods data is often a challenge for Kober.Kober today, which still uses the manual method of recording one by one through books. This study aims to design a website-based application that can do bookkeeping or recording of goods neatly and make it easy to see stock or new goods to be submitted to the center for reporting learning facilities and infrastructure. To overcome this problem, it can be overcome by CMS (Content Management System). CMS is a system that can change data content dynamically. This inventory website is made using Laravel which is easy to use and also uses Visual Studio Code as a supporting application and uses MySQL as a database to store data. This application will certainly be very easy to use by users with clear information and is not difficult to operate. This application is adjusted to the needs of users who currently still find it difficult to record goods in Kober Aulia and still use manual books to record existing stock of goods.

ANALISIS KEPUASAN PENGGUNA APLIKASI GOPAY MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN K-FOLD CROSS VALIDATION

Asmaul Usnah — 2025-09-10

The rapid advancement of digital technology has significantly increased the adoption of digital wallet services in Indonesia, one of which is the GoPay application. This study aims to analyze user satisfaction with GoPay based on user reviews from the Google Play Store. The classification method used is the Naïve Bayes algorithm, with model validation performed using the K-Fold Cross Validation technique. A total of 3,000 reviews were collected through web scraping and then preprocessed using several text preprocessing steps including cleansing, case folding, tokenizing, stopword removal, and stemming. The data was automatically labeled using the IndoBERT model and classified into two satisfaction categories. The classification results show that the Naïve Bayes algorithm achieved an accuracy of 92.46%, with a precision of 92.25%, recall of 94.70%, and an f1-score of 93.46%. Validation using 10-fold cross-validation resulted in an average accuracy of 92.23%. These results indicate that the model demonstrates strong classification performance and stable generalization on unseen data. This research is expected to contribute to improving GoPay's service quality and serve as a reference for the implementation of machine learning techniques in user satisfaction analysis.

PREDIKSI MAHASISWA INSTITUT SOSIAL DAN TEKNOLOGI WIDURI JAKARTA BERPOTENSI DROP OUT MENGGUNAKAN ALGORITMA NAÏVE BAYES

Sultan Sultan — 2025-09-10

Universities are responsible for producing quality graduates and reducing dropout rates (DO), a serious challenge for the Widuri Institute of Social and Technology (ISTEK). This phenomenon has a negative impact on the quality of education and accreditation, making early identification of students who have the potential to drop out (DO) very crucial. This study aims to apply the Naïve Bayes algorithm to predict the potential for dropout (DO) of ISTEK Widuri students based on data on the activities of the 2021, 2022, and 2023 intakes. Naïve Bayes has proven effective in classifying students at risk of dropping out (DO). The Semester Credit Unit (SKS) attribute is the most dominant indicator, students with low SKS have a high potential for dropping out (DO). Model performance varies for each batch, in the 2021 batch it reached 90% accuracy (100% DO precision, 40% recall), the 2022 batch showed 93.75% accuracy (100% DO precision, 60% DO recall), and the 2023 batch had 86.67% accuracy (100% DO precision, 33.33% DO recall). This model is very good at validating students who are safe from DO (100% recall of Not DO in all batches). Even so, the model still needs to be improved so that it can find all students who are at risk of dropping out (DO) as a whole. The prediction results for students with the potential for DO at ISTEK Widuri Jakarta are expected to support more optimal prevention efforts and contribute to improving the quality of education.

KLASIFIKASI CITRA WADAH MINUMAN REUSABLE DAN NON-REUSABLE MENGGUNAKAN MOBILENETV2

Dea Ramanda — 2025-09-10

Single-use plastic waste, particularly from beverage bottles, remains a significant contributor to the increasing volume of waste in Indonesia. The limited use of reusable beverage containers underscores the urgent need for technological innovations that can support efficient waste segregation. Addressing this issue, the present study proposes a computer vision-based image classification system designed to automatically distinguish between reusable and non-reusable drinking containers. This research adopts a quantitative experimental approach, employing the MobileNetV2 architecture through transfer learning techniques. The model was trained with augmented and normalized datasets to enhance its generalization across diverse image inputs. Evaluation results demonstrate strong classification performance, achieving 96% accuracy, 99% precision (for tumblers), 95% recall, and a 97% F1-score. These outcomes indicate the effectiveness of MobileNetV2 in identifying visual patterns between container types and its potential for deployment in image-driven waste management systems.

ANALISIS SENTIMEN PENGGUNA APLIKASI MYPERTAMINA MENGGUNAKAN METODE NAÏVE BAYES BERBASIS DATA ULASAN DI PLAY STORE

Rifkiansyah Rifkiansyah — 2025-09-10

MyPertamina is PT Pertamina's digital application designed to support cashless and targeted distribution of subsidized fuel. Although it has been downloaded by millions of users, the app has received a variety of responses recorded in the form of reviews on the Google Play Store. This research was conducted to determine the tendency of user opinions through an automated sentiment analysis approach. Review data is collected by utilizing the Google Play Scraper library, then processed through preprocessing stages such as text normalization, character cleaning, tokenization, common word removal, and stemming. Positive and negative sentiment labels are assigned with the help of the IndoBERT pre-trained model. The next process includes conversion of text to numerical form with TF-IDF method and application of Multinomial Naïve Bayes algorithm for classification. The model is tested using confusion matrix and 10-Fold Cross Validation. The results showed that the majority of user reviews were negative (63.65%), and the classification model achieved 89.25% accuracy, 87.5% precision, 82% recall, and 84.69% F1-score. This shows that the approach used is effective in identifying public perceptions of MyPertamina application services.

IMPLEMENTASI WEB LAUNDRY DENGAN METODE AGILE UNTUK MENINGKATKAN EFISIENSI

Rendy Rahmad Illahi — 2025-09-10

Rapid developments in industry and information technology have created increasingly fierce competition to create new innovations and maintain competitiveness in the global marketplace. The development of information systems is currently rapid and dynamic, with many people relying on them to simplify their work activities. One of the easiest forms of information systems to develop is a web-based information system. This research aims to develop a web-based information system for Khendy Laundry. Currently, Khendy Laundry still uses a traditional system, namely manual recording and transactions using paper receipts. With this method, customer and order data are sometimes lost due to damaged or lost receipts, so the main goal is to record transactions digitally. The research method used is the Agile method. The results show that this new system successfully reduces the risk of errors and data loss, speeds up, and simplifies report generation. This system improves operational efficiency at the laundry.

PERANCANGAN SISTEM INFORMASI BOOKING WEDDING PLANNER BERBASIS WEBSITE PADA HARUM SENJA DECORATION

Annisha Selvira — 2025-09-10

Harum Senja Decoration, a wedding planning service provider, previously relied on social media platforms like Instagram for marketing and bookings. This process was done manually, resulting in the risk of confirmation delays and recording errors. This study aims to design a website-based booking information system to improve the efficiency, accuracy, and ease of booking services for prospective brides and grooms. The development method used is the Prototype model, which allows for gradual system improvements based on user feedback. The development stages include needs analysis, system design (use case diagrams, activity diagrams, sequence diagrams, class diagrams, and flowcharts), and implementation with HTML, CSS, JavaScript, and XAMPP for the database. System testing used the Black-Box Testing method, ensuring all functions run according to specifications. The result of this study is a web-based information system that includes login features, package booking, payment, data management by admins, and automatic notifications. With this system, the booking process is more structured, faster, and can be monitored in real-time by users and managers. This system is expected to provide solutions to previous operational problems and improve the quality of digital wedding planning services.

PERANCANGAN WEBSITE MONITORING GANGGUAN INTERNET DAN MENGGUNAKAN UML (STUDI KASUS: PT. FAZNET)

Muhamad Irfan — 2025-09-10

This research brings to light an urgent dilemma pervading the broadband service supplying sector exemplified by PT. Faznet.
Presently, clients have difficulties effectively communicating interruptions owing to manual processes providing scant network performance information. Addressing this communication vacuum, we propose a wireless network monitoring web portal engineered to dynamically present internet conditions in real time (speed, signal quality, status) and enable two-way interactions through disturbance reporting, maintenance advisories, and status updates. The developmental approach applies the Unified Modeling Language (UML), starting with Use Case Diagrams to model user requirements, progressing to Activity Diagrams detailing work processes, Sequence Diagrams sequencing intercomponent operations, and lastly Class Diagrams outlining software structure. It is expected that implementing this system will notably amplify transparency and responsiveness to better serve customers of PT. Faznet. This paper investigates a key challenge in sharing network performance data and service issues with subscribers of an internet provider. The suggested remedy involves designing an online dashboard displaying current network metrics and a feedback mechanism for users and technicians to exchange information on problems, repairs, and network status. System architecture and evolution adheres to modeling best practices to map workflows, message passing, and class relationships with the goal of vastly improving availability of network intelligence to customers while strengthening support reactivity. This aims to boost satisfaction levels among the user base of the featured broadband corporation.

SECURITY TESTING (WHITE BOX PENETRATION TESTING) PADA AUTHENTICATION SISTEM LOGIN WEBSITE

Amar Luthfi — 2025-09-10

In 2024, according to the 2024 Indonesian Cybersecurity Landscape by the National Cyber Security Agency (BSSN), Indonesia experienced a total of 330,527,636 anomalous traffic. The highest traffic occurred in December with 112,085,045 traffic, and the lowest in May with 12,273,078 traffic. The impact of this leak is very broad, causing the risk of phishing, account hijacking, identity theft, ransomware attacks on companies, and misuse of business email. Based on this background, this study aims to minimize the many attacks that occur in the cyber world, especially on website applications. By using the Security Testing method (White Box Penetration Testing). The MD5 algorithm is still effective in protecting passwords in databases from SQL injection attacks that use common username and password combinations and on websites that use PHP without JavaScript is proven safe from Cross-Site Scripting attacks.

PREDIKSI PENERIMAAN MAHASISWA BARU UNIVERSITAS SINGAPERBANGSA KARAWANG DENGAN RANDOM FOREST

Mochammad Fitra Pamungkas — 2025-09-10

The selection of study programs and the selection process for new student admissions are crucial stages that have an impact on the smooth running of studies and students' future careers. However, this process is often still done subjectively, thus potentially causing a mismatch between interests, abilities, and the chosen study program. This research aims to implement the Random Forest algorithm, analyze the factors that influence acceptance, and determine the performance of the prediction model generated by the Random Forest algorithm in assisting new student admissions for the National Selection Based on Test (SNBT) pathway at Universitas Singaperbangsa Karawang. This research uses the Knowledge Discovery in Database (KDD) method which consists of 5 stages, namely Data Selection, Preprocessing, Transformation, Data Mining, and Evaluation. The data used was 815 new student data of Universitas Singaperbangsa Karawang, which included UTBK scores, school background, and choice of prospective student study programs. In the Transformation and Data Mining stages, 4 data splitting scenarios were carried out, namely 90:10, 80:20, 70:30, and 60:40. The best performance with the Random Forest model is generated by the 80:20 data splitting scenario with an accuracy value of 0.945, precision of 0.937, recall of 0.943, f1-score of 0.940 and AUC value of 0.983.

PENERAPAN METODE MAMDANI DALAM PREDIKSI JUMLAH MAHASISWA BARU TEKNIK INFORMATIKA UNIVERSITAS MUHAMMADIYAH PAREPARE

Ayuni Yunus — 2025-09-10

This study aims to apply the Mamdani-type Fuzzy Inference System (FIS) to predict the number of new students in the Informatics Engineering Study Program at Universitas Muhammadiyah Parepare. The main problem addressed is the annual fluctuation in student enrollment, which complicates capacity and resource planning. The data used includes historical admission records and questionnaire results from 30 respondents, consisting of lecturers, administrative staff, and program management representatives. The analysis focused on three aspects: ease of use, security and reliability, and user satisfaction and benefits of the application. The results indicate that the Mamdani-based prediction application achieved high accuracy and received positive responses from users. The average agreement rate for ease of use was 90%, security and reliability 87%, and satisfaction and benefits 88%. The strength of the Mamdani method lies in its ability to handle linguistic input variables and uncertainty, providing adaptive and relevant prediction results. However, further development is recommended for the automatic backup feature and result verification mechanisms to enhance data security. Overall, the implementation of the Mamdani method for predicting new student enrollment has proven to be practically beneficial for study program management and provides a theoretical contribution to the application of fuzzy logic in higher education. This research can serve as a foundation for developing more advanced predictive models in the future.

SISTEM INFORMASI MANAJEMEN KEMITRAAN PT. JAPFA PADA BIDANG PETERNAKAN AYAM BROILER BERBASIS ANDROID

Muhammad Rijal — 2025-09-10

This study aims to evaluate the implementation of PT. Japfa's Partnership Management Information System based on Android in supporting operational efficiency and enhancing partnership transparency in broiler chicken farming. The research focuses on three main variables: ease of use of the application, security and reliability of the application, and the benefits of the application for farmers. Using a quantitative approach with a descriptive design, data were collected through questionnaires distributed to 30 farmers partnered with PT. Japfa, and in-depth interviews were conducted to gather further insights into user experiences.The findings indicate that the application facilitates the management of farm operational data through an intuitive interface, and automation features that enhance financial reporting efficiency. However, some farmers requested more intensive training on how to use the application. In terms of security and reliability, the application successfully protects sensitive data and handles system errors effectively, though routine updates are still needed to improve security. Additionally, the application provides significant benefits in terms of partnership transparency, accelerating harvest reporting, and organizing feedstock management more effectively.This research contributes valuable insights into the development of technology-based applications for the livestock sector, particularly in information-based partnership management. Recommendations for future research include enhancing poultry health monitoring features and integrating data more comprehensively to support more efficient management.

OPTIMASI SISTEM INFORMASI PENGELOLAAN DATA KESEHATAN PEGAWAI PADA UNIT P3K PT KEBON AGUNG PG TRANGKIL MENGGUNAKAN METODE AGILE DENGAN PENDEKATAN SCRUM

Yulinda Rahmawati — 2025-09-10

This study is entitled “Optimization of Employee Health Data Management Information System at P3K Unit PT Keon Agung PG Trangkil Using Agile Method with Scrum Approach”. This study aims todevelop an integrated and flexible informastions system to manage employee healrt data. With agile method with Scrum approach, the system is developed in stages through Sprint, adjusted ased on user feedback. The system is designed to record examination data, classify results into mild and severe diseases, and process referrals for severe disease cases. The development results show increased efficiency, accuracy of recording, and support management in making decisions related to employee welfare

SISTEM PEMANTAUAN KUALITAS AIR IKAN NILA MEDIA BIOFLOK MENGGUNAKAN ALGORITMA LSTM DAN SVM

T. Arief Nugroho — 2025-09-10

Tilapia farming with biofloc systems faces challenges in maintaining water quality stability due to fluctuations in temperature and pH that can affect fish health. To overcome this, this research designs an Internet of Things (IoT)-based water quality monitoring system integrated with machine learning-based prediction and classification methods. The system is built using NodeMCU ESP8266, DS18B20 (temperature), and PH-4502C (pH) sensors. Historical data from the sensors is processed using the Long Short-Term Memory (LSTM) algorithm to predict the values of water quality parameters. Next, the predicted results are classified using a Support Vector Machine (SVM) into three categories: “Air Terlalu Asam”, “Kualitas Air Baik”, dan “Air Terlalu Basa”. The classification information is then automatically sent to the farmer via the Telegram application. Model testing showed very high performance, where the LSTM prediction model achieved an R-squared value of 0.8871 with a very low error rate (MAE: 0.0115; MSE: 0.0019; RMSE: 0.0436), while the SVM classification model managed to achieve an accuracy of 99.86%. The implementation of this system is expected to assist farmers in making quick and precise decisions, reduce the risk of fish mortality, and increase time and labor efficiency in biofloc pond operations..

PENERAPAN DATA MINING DALAM PENILAIAN KINERJA AKADEMIK SISWA/I SMP YPI PULOGADUNG DENGAN METODE K-MEANS CLUSTERING

Salsa Nabilatul Adzra — 2025-09-14

Improving the quality of education requires an objective, systematic, and data driven academic performance assessment system. One technological approach that can be used to support this is data mining, specifically the K-Means Clustering method. This study aims to cluster student academic data based on report card grades for the odd semester of the 2024/2025 academic year using the K-Means algorithm. Data processing was performed using RapidMiner software, with the optimal number of clusters selected at three (K=3) based on the Davies Bouldin Index (DBI) of 1.149. The clustering results form three main categories: Cluster 0 contains 174 students with average academic performance, Cluster 1 contains only one student with the lowest performance, and Cluster 2 contains 107 students with high academic performance. This grouping provides more structured and useful information for schools in designing targeted academic development strategies. This study demonstrates the effectiveness of the K-Means Clustering method in identifying student academic patterns and classifications.

PENERAPAN ALGORITMA REGRESI LINIER BERGANDA UNTUK PREDIKSI STOK BARANG DI LABORATORIUM KLINIK PROLAB MEDIKA

Lilis Komariah — 2025-09-15

Manual stock management at Prolab Medika Clinical Laboratory often causes delays in reporting and potential errors in data recording. Accurate stock prediction is key to avoiding shortages or excess inventory that can disrupt laboratory operations. This research aims to develop a web-based stock prediction system using machine learning to improve inventory management efficiency. The machine learning method applied is Multiple Linear Regression with variables of incoming stock, remaining stock, and outgoing stock obtained from laboratory historical data. The research results show that the system is able to predict stock requirements with a good level of accuracy based on evaluation using Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), and R² Score, and provides real-time reports that facilitate the head of logistics in decision making.

PERANCANGAN WEBSITE PEMESANAN TRAVEL ONLINE PADA PT NETRAL LINTAS NUSANTARA

Nabila Aura Fitri — 2025-09-15

As work to the literature, it uses design and development of the long distance online web-based ticketing system on PT Netral Lintas Nusantara as inter city land transportation with based on Pekanbaru, Riau. There are problems inherent from the current manual ticketing system among which are slow ticketing process to the services, high chances of human errors to the data entry and limited reach of the customer service. The main objective of this study is to develop computerized booking and ticketing system on-line that will minimize of ticketing and booking and expose brethren in Christ, to global network, such that there would be access to airports with investment in the international and local and international airline and flight, which users can upload the softcopy of card to board their flight. Discretion is also designed to solve the existing system inadequacies through system requirement analysis, database design and website development method. The antinicipated output of the design is a remarkable performance enhancement of PT Netral Netral Lintas Nusantara's operational system, 24/7 service expansion in real time to customers, and an enormous administration manual usage reduction. In this information age, the official launching of the website is a key action in modernising services that enables the company to enhance competitiveness on the digital platform.