JURNAL ILMIAH INFORMATIKA

ANALISIS KEPUASAN LAYANAN BIRO ADMINISTRASI AKADEMIK KEMAHASISWAAN STMIK WIDURI MENGGUNAKAN ALGORITMA NAÏVE BAYES CLASSIFIER

Nanda Kharisma, Nur Nawaningtyas Pusparini — Sat, 15 Mar 2025 00:00:00 +0000

Higher education institutions play an important role in creating quality human resources, and one of the main factors that influence the quality of higher education is the academic services provided to students, as seen at STMIK Widuri. The Academic and Student Affairs Administration Bureau of STMIK Widuri needs to provide quick and accurate responses to ensure the quality of services is maintained. This study aims to predict the services of the Academic and Student Affairs Administration Bureau using the Naive Bayes Classifier algorithm, which is a probability-based classification method for predicting a class. The datasets used in this study are perceptions and expectations derived from questionnaires distributed online to STMIK Widuri students, which were processed using RapidMiner through the stages of Knowledge Discovery in Database (KDD). The evaluation results show an accuracy of 95%, precision of 100%, and recall of 93.75% for the perception dataset, and an accuracy of 90%, precision of 87.50%, and recall of 87.50% for the expectation dataset. This algorithm has proven to be effective in predicting the satisfaction of services provided by the Academic and Student Affairs Administration Bureau at STMIK Widuri.

PENERAPAN METODE DECISION TREE DALAM PENENTUAN JURUSAN SISWA

Yuli Nurul Aini, Ahmad Faqih, Gifthera Dwilestari — Sat, 15 Mar 2025 00:00:00 +0000

Choosing a major for vocational students is an important step in determining their future career. Inappropriate decisions in choosing a major can have a negative impact on the learning process and career prospects of students. This research aims to apply the Decision Tree C4.5 algorithm in determining student majors based on historical data from SMK Plus Qurrota A'yun. The main attributes used in this model include gender, practical score, report card score, and rank. The data analysis process is carried out using KDD (Knowledge Discovery in Databases) stages which include preprocessing (normalization and labeling), data transformation with SMOTE to balance the data, and dataset division (80% for training and 20% for testing). The results of the C4.5 Decision Tree model show an accuracy rate of 86.59%, with report card and practical grades as the most significant attributes in determining student majors. Evaluation of the model showed variation in performance between majors, with high precision in TSM (92.22%) and weak recall in TKJ (73.91%). Overall, the algorithm proved to be effective for providing major recommendations based on historical data, although optimization is needed for majors with lower precision and recall values.

ANALISIS PENGGUNAAN APLIKASI NIMBUS BM PADA ABSENSI KARYAWAN KEMENPAREKRAF RI BERBASIS ANDROID MENGGUNAKAN METODE TAM

Susanto Susanto, Galih Surono — Sat, 15 Mar 2025 00:00:00 +0000

This study discusses the Nimbus BM application as an Android-based employee attendance solution at the Indonesian Ministry of Tourism and Creative Economy. Attendance is the process of recording the presence and return of individuals in activities, which is important in managing attendance. However, the Nimbus BM application sometimes experiences errors when employees check in and out, especially when the network is unstable, resulting in inaccurate time recording. The simple features of this application are also considered less supportive of optimal attendance needs. This study uses the Technology Acceptance Model (TAM) approach to measure employee acceptance and identify aspects that need to be improved, through four main variables: perceived ease of use, perceived usefulness, attitude towards use, and intention to use. The results of the analysis show that the Nimbus BM application received an average score of 85.09% for all variables, indicating that this application is accepted by the majority of employees. This study is expected to be the basis for further development of the Nimbus BM application, especially in improving features and network stability to be more optimal in meeting employee attendance needs effectively at the Indonesian Ministry of Tourism and Creative Economy.

PERANCANGAN SISTEM INFORMASI RESEPSIONIS PADA DINAS PERPUSTAKAAN DAN KEARSIPAN KOTA PALEMBANG

Didi Putra Haski, Gina Agiyani — Sat, 15 Mar 2025 00:00:00 +0000

This research aims to design a receptionist information system at the Palembang City Library and Archives Office to facilitate visitor registration and data management. The system is designed to enhance operational efficiency and improve service quality for visitors. Using the Prototype development model, the system goes through the stages of requirement analysis, design, implementation, and testing. The research results show that the developed system improves visitor management with features such as digital registration, data recapitulation, and data export to Excel format. Additionally, the system supports library operations by accelerating data retrieval and generating more structured reports. The implementation of this system is expected to accelerate digital transformation in library administration and enhance service quality for the public.

ANALISIS KLASIFIKASI ULASAN APLIKASI SIREKAP 2024 MENGGUNAKAN EKSTRAKSI FITUR DISTILBERT DAN METODE SUPPORT VECTOR MACHINE

Reno Ridhoi, Naufal Azmi Verdikha, Fendy Yulianto — Sat, 15 Mar 2025 00:00:00 +0000

This study aims to classify reviews of the SIREKAP 2024 application automatically using the DistilBERT feature extraction method and the Support Vector Machine (SVM) algorithm. The data used includes 8,538 user reviews from the Google Play Store with five Rating categories as the target variable. After undergoing 10-Fold cross-validation, the average F1-Score obtained was 36.62%, with the highest performance reaching 37.16%. The analysis indicates that data imbalance is the main obstacle in improving the model's accuracy, particularly in the minority class. The study concludes that the combination of DistilBERT and SVM yields suboptimal results and requires further optimization. Recommendations are provided to improve model accuracy and enhance the quality of the application based on user reviews.

ANALISIS MONITORING UNTUK PENCEGAHAN AKSES ILEGAL DI DALAM JARINGAN DEPARTEMENT TI PT. PUSRI

Tamsir Ariyadi, M.Alzi Ikrar Agamuri, Rahmat Wiratama, Dasril Kholid — Sat, 15 Mar 2025 00:00:00 +0000

Technology plays an important role in human survival in daily activities that cannot be separated from technology. Information technology makes it easy for humans to share information or search for information. Cyber attacks such as malware attacks or hacking attempts are a serious threat to IT networks. The purpose of network security is to anticipate the risk of network threats that can disrupt daily computer network operations. In this study, the author used the Action Research method. This study aims to test and develop, find and design. The network in the IT Department of PT. Pupuk Srwidjaja Palembang is quite safe because when network monitoring was carried out for 10 days on June 6, 2023 to June 22, 2023, there was no illegal access.

ANALISIS SENTIMEN ULASAN GAME EFOOTBALL 2024 PADA PLAYSTORE MENGGUNAKAN ALGORITMA NAÏVE BAYES

Rohim Nur Rahman, Abdul Rahim, Wawan Joko Pranoto — Sat, 15 Mar 2025 00:00:00 +0000

The rapid development of technology has made access to digital entertainment easy. This includes online games such as eFootball, which has been downloaded more than 100 million times and received mixed reviews on the Google Play Store. This study examines the sentiment of eFootball user ratings using the Naive Bayes algorithm. The methodological process includes data selection, pre-processing, transformation using CountVectorizer and TF-IDF, and classification with Naive Bayes. From 1500 reviews on Google Play Store, the Naive Bayes model obtained 85% accuracy, 85% precision, 86% repeatability rate, and 85% F1 score. The results of this study show that Naive Bayes is effective for classifying sentiment from eFootball game ratings.

RANCANG BANGUN SISTEM LOKER OTOMATIS MENGGUNAKAN QRCODE DAN LAMPU UV DISINFEKTAN

Novesel Estrada, Muhammad Rafli Pratama, Tamsir Ariyadi — Sat, 15 Mar 2025 00:00:00 +0000

As technology advances, the level of intelligence in humans increases, so humans always want to create progressive innovations, but besides that, it can also give rise to crime in society. Therefore, security aspects are very much needed in various sectors of life today. One of them is the locker security system which can influence criminal acts. A locker is a place for storage that usually has a lock, which is used to store or place valuable items. One of the facts is that there is often theft and loss of items at places where lockers are rented or borrowed. Thieves can easily open the locker lock using a piece of wire or other artificial keys. This research designs and builds a locker door security system consisting of QRcode sensors, solenoid locks, UV lights, Arduino and other sensor devices. The result of this research is an implementation of a locker security system that can open and close locker locks automatically using Arduino Uno which can provide automatic lock security with a better level of security such as the use of an automatic lock that uses a QRcode scan sensor which only the owner can open by pasting the QRcode code, and additional automatic locks such as a password keypad to open the locker.

IMPLEMENTASI ALGORITMA BLOWFISH UNTUK PENGAMANAN DATA PADA APLIKASI PENGELOLAAN KELOMPOK TANI DI KECAMATAN DAWUAN

Mohammad Rezza Fahlevvi, Nurfadhilah Septiandi Harhari, Wahyu Ariandi — Sat, 15 Mar 2025 00:00:00 +0000

The rapid development of technology has increased the need for robust data security, especially in public administration managing sensitive information. This research aims to design a farmer group management application for Dawuan District, integrating the Blowfish algorithm to secure member data. The study employs the Rational Unified Process (RUP) methodology, comprising problem identification, system design, implementation, and evaluation stages. Blowfish, chosen for its speed and efficiency, encrypts critical information such as identification numbers, addresses, and contact details. System functionality and security tests confirm the algorithm’s effectiveness, demonstrating faster encryption times and reliable protection against data breaches compared to AES and 3DES. User feedback highlights the system’s practicality and alignment with local administrative needs. However, the study notes limitations in computational resource requirements and key management. Future research may explore performance optimization, blockchain integration for layered security, and mobile app development to enhance accessibility. This research contributes to the literature on cryptographic applications in public systems, presenting a scalable solution to secure farmer data and supporting regional efforts to comply with data protection regulations.

PERANCANGAN DAN IMPLEMENTASI SISTEM INFORMASI MAHASISWA BERPRESTASI PROGRAM STUDI SISTEM DAN TEKNOLOGI INFORMASI DI UNIVERSITAS MUHAMMADIYAH KOTABUMI

Oktari Herlina, Yulina Yulina — Sat, 15 Mar 2025 00:00:00 +0000

Information systems play a crucial role in data management and providing useful information, including in the context of higher education. Student achievement, as an indicator of study success, needs to be managed effectively and efficiently. This study aims to develop a website-based student achievement data collection information system in the Information Systems and Technology Study Program, Muhammadiyah University of Kotabumi. Data collection methods used include literature studies to understand the concept of student achievement and information systems, as well as direct observation to analyze the current data collection process. The system development uses a waterfall model with stages of system analysis, design, implementation and system testing. The results of this website-based information system research are expected to be able to improve the efficiency and accuracy of student achievement data collection, as well as provide more complete and easily accessible information. This system is expected to support the improvement of the quality of student services in the Information Systems and Technology Study Program, Muhammadiyah University of Kotabumi

PERANCANGAN DAN IMPLEMENTASI SISTEM INFORMASI MANAJEMEN KERJA SAMA PROGRAM STUDI SISTEM DAN TEKNOLOGI INFORMASI UNIVERSITAS MUHAMMADIYAH KOTABUMI

Aqshal Arafi Fernanda, M. Abu Jihad Plaza R. — Sat, 15 Mar 2025 00:00:00 +0000

The web-based collaboration information system is designed as an application to facilitate a dynamic and structured collaboration process between Muhammadiyah University of Kotabumi (UMKO) and various external parties. At UMKO, the management of collaboration documents currently faces several significant challenges, including limitations in accessibility and efficiency in handling physical documents. This research aims to address the problems arising from conventional collaboration methods, which are often time-consuming and prone to errors, by offering comprehensive digital solutions to improve overall collaboration effectiveness. The system development method used is the waterfall model, a systematic and structured approach that includes stages such as in-depth needs analysis, detailed system design, careful implementation, rigorous testing, and continuous maintenance. Data collection was carried out through observation of the existing collaboration flow, in-depth interviews with relevant parties such as collaboration units, lecturers, and external partners, as well as comprehensive literature reviews to understand the concepts and best practices in developing collaboration information systems. The research results show that the developed system has successfully and significantly increased the efficiency of collaboration data management, facilitated fast and accurate information access for lecturers, students, and partners, and produced more accurate, comprehensive, and timely collaboration reports. This system is expected to support UMKO in enhancing the quality and quantity of collaborations, expanding its cooperation network, and strengthening the institution's image as a progressive and cooperation-oriented educational institution.

RANCANG BANGUN PROTOTYPE SISTEM PROTEKSI MOTOR DC BERBASIS MIKROKONTROLER DENGAN NOTIFIKASI TELEGRAM

Difa Al Baihaqqi, Nina Paramytha, Endah Fitriani, Tamsir Ariyadi — Sat, 15 Mar 2025 00:00:00 +0000

CTP / CTCP machine which is a machine used in the printing industry that functions to make printing plates. CTP (Computer to Plate) CTCP (Computer to Conventional Plate). Continuous usage of this machine may cause the vacuum blower motor to overheat and shut off, which could impede the creation of printing plates and ultimately halt output. The performance of the machine can be enhanced by using protective system technology on the vacuum blower motor. By using microcontroller Node MCU ESP 8266 as control system, using a DS18B20 as temperature sensor, two fan as cooler, PZEM 017t as voltage and current monitoring motor, LCD 16x2 as display showing the values of current, voltage, DC motor temperature, DC motor speed control, and telegram to monitoring system realtime. The research’s output is a prototype that uses a DC motor as vacuum blower motor for monitoring and cooler if the DC motor temperature reaches a certain point, it will automatically notify the user via a chatbot (Telegram). So that when used with the plate printing machine, it can subsequently aid in improving output results.