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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmu Sosial dan Ilmu Politik (JISIP) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi INTECOMS: Journal of Information Technology and Computer Science KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Humanities and Social Studies Jurnal Abdi Ilmu Jurnal Elektro dan Telkomunikasi JURNAL MAHAJANA INFORMASI CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jatilima : Jurnal Multimedia Dan Teknologi Informasi REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Scientia Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Bulletin of Information Technology (BIT) INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Jurnal Nasional Teknologi Komputer Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Masyarakat Indonesia Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) International Conference on Sciences Development and Technology Prosiding Seminar Nasional Teknik UISU (SEMNASTEK) Indonesian Journal of Education And Computer Science Jurnal Ilmiah Multidisiplin Indonesia International Journal of Industrial Innovation and Mechanical Engineering International Journal of Information Engineering and Science Bulletin of Engineering Science, Technology and Industry Jurnal Ekonomi dan Bisnis Journal Of Computer Engineering And Information Technology The Journal of Information Technology, Computer Science, and Electrical Engineering
Darmeli Nasution
Universitas Pembangunan Panca Budi
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Comparative Analysis of Sequencing Methods and Markov Models for Predicting High-Achieving Students at Budi Darma University Sinambela, Sugi Hartono; Iqbal, Muhammad; Khairul, Khairul; Darmeli Nasution; Zulham Sitorus
The IJICS (International Journal of Informatics and Computer Science) Vol. 9 No. 2 (2025): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v9i2.8964

Abstract

The prediction of high-achieving students is a strategic step in supporting the development of academic quality within higher education institutions. This study aims to compare two data mining approaches, namely the Sequencing method and the Markov Model, in predicting high-achieving students at Universitas Budi Darma Medan. The Sequencing method is used to identify patterns in the sequence of academic grades and non-academic activities of students from semester to semester, while the Markov Model is used to calculate the probability of transitions in students' academic status based on historical data. The research adopts a quantitative approach involving 100 active students with complete academic and non-academic data. The data analyzed include semester GPA, participation in organizations, seminars, and achievements in competitions. Both methods were evaluated using metrics such as accuracy, precision, recall, and F1-score. The evaluation results show that the Sequencing method achieved an accuracy of 87%, precision of 85%, recall of 88%, and an F1-score of 86%, while the Markov Model recorded an accuracy of 81%, precision of 79%, recall of 83%, and an F1-score of 81%. Based on these results, the Sequencing method is considered superior in detecting patterns and providing more accurate predictions of students’ achievement potential. The comparison of these two methods provides a foundation for institutions to develop more accurate, objective, and comprehensive student achievement prediction systems. Thus, universities can implement early and well-targeted interventions and guidance.
EVALUATION OF INFORMATION TECHNOLOGY GOVERNANCE E-KINERJA SYSTEMS IN ASSESSING EMPLOYEE PERFORMANCE USING THE MODEL COBIT 2019 AT THE DISTRICT COMMINFO OFFICE WAS REALLY FUN Eswin Syahputra; Khairul; Muhammad Iqbal; Rian Farta Wijaya; Darmeli Nasution
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i3.60

Abstract

The Department of Communication and Information Technology (Kominfo) in developing an e-performance information system needs to carry out a governance evaluation. The aim of this research is to evaluate information technology governance in the E-Kinerja system in assessing employee performance at the Bener Meriah Regency Communication and Information Service using the COBIT 2019 model using the Action Research method. Data collection techniques use two sources of primary data and secondary data. The results of this research are three main domains in COBIT 2019, namely EDM02 (Ensured Benefits Delivery), APO10 (Managed Vendors), and BAI11 (Managed Projects). This evaluation is carried out to measure the targeted capability level (to-be), the current capability level (as-is), as well as the gaps (GAP) that exist between the two. So the capability level in the EDM02 domain is at level 4, the APO10 domain is at level 2 and the BAI11 domain is at level 2. These findings provide an overview of areas that require further improvement and development to achieve more effective and efficient information technology governance. Thus, it is hoped that this research can contribute to improving the quality of information technology governance at the Bener Meriah Regency Communication and Information Service, as well as becoming a reference for other government agencies in implementing the COBIT 2019 model for evaluating information technology systems.
Development of A Web-Based Employee Performance Monitoring and Reporting System to Enhance Productivity and Performance Evaluation Devina, Annisa; Nasution, Darmeli
Bahasa Indonesia Vol 17 No 07 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i07.420

Abstract

The Attorney General's Office, as a law enforcement institution, requires optimal employee performance to achieve effectiveness in law enforcement. However, the current employee performance monitoring and reporting processes at the Binjai District Attorney's Office are still manual, leading to inefficiencies, lack of transparency, and difficulties in objective evaluation. This research aims to develop a Web-Based Employee Performance Monitoring and Reporting System as a solution to address these issues. The system is designed to improve the accuracy, transparency, and integration of performance data, thereby enabling more objective and measurable evaluations. With this system, leaders can provide accurate feedback, identify performance problems earlier, and ultimately enhance employee productivity and the overall performance of the Attorney General's Office. The research has successfully developed a web-based system with an interface that allows centralized management of user data, employee information, tasks, and performance evaluations. The implementation of this system is expected to significantly positively impact operational efficiency and support the achievement of organizational goals in more effective and efficient law enforcement.
RANCANG BANGUN SISTEM INFORMASI PERPUSTAKAAN BERBASIS WEB MENGGUNAKAN METODE WATERFALL PADA SD 067090 MEDAN KOTA Pane, Danang Putra; Kurniawan, Fahmi; Nasution, Darmeli
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4293

Abstract

Abstract: Libraries are very important facilities in every school as a source of learning for students and teachers. With the development of technology, there has been a shift from manual book recording to the use of special applications to manage library data. Manual record-keeping cannot provide fast and accurate service. At SD NEGERI 067090 Medan Kota, there are various types of books, including textbooks, reference books, and many others, so a Web-Based Library Information System is needed to manage data such as member management, book input, and book borrowing and return transactions. Therefore, a web-based library application was developed with a case study at SD NEGERI 067090 Medan Kota, which will be used by the school's library administrator. The method applied in this study is the Waterfall method, which includes needs analysis, system design, and testing. The features of this application include admin login, dashboard, member data, book data, transactions, book borrowing data, borrowing reports, book return data, return reports, system users, and report printing. The results of the study indicate that this library application can streamline and simplify the process of recording members who borrow and return books at SD NEGERI 067090 Medan Kota. Keywords: Systems, Information, Library, Waterfall, WebAbstrak: Perpustakaan merupakan fasilitas yang sangat penting di setiap sekolah sebagai sumber belajar bagi siswa dan guru. Seiring dengan perkembangan teknologi, terjadi pergeseran dari pencatatan buku secara manual ke penggunaan aplikasi khusus untuk mengelola data perpustakaan. Pencatatan manual tidak dapat memberikan pelayanan yang cepat dan akurat. SD NEGERI 067090 Medan Kota, terdapat berbagai jenis buku, termasuk buku pelajaran, buku fuksi, dan banyak buku lainnya, sehingga diperlukan Sistem Informasi Perpustakaan Berbasis Web yang dapat mengelola data seperti pengelolaan anggota, penginputan buku, transaksi peminjaman dan pengembalian buku. Oleh karena itu, sebuah aplikasi perpustakaan berbasis web dikembangkan dengan studi kasus di SD NEGERI 067090 Medan Kota, yang nantinya akan digunakan oleh admin perpustakaan sekolah tersebut. Metode yang diterapkan dalam penelitian ini adalah metode Waterfall, yang mencakup analisis kebutuhan, desain sistem, dan pengujian. Fitur-fitur yang terdapat dalam aplikasi ini meliputi login admin, dashboard, data anggota, data buku, transaksi, data peminjaman buku, laporan peminjaman, data pengembalian buku, laporan pengembalian, pengguna sistem, dan pencetakan laporan. Hasil penelitian menunjukkan bahwa aplikasi perpustakaan ini dapat mempercepat dan mempermudah pelayanan dalam mendata anggota yang meminjam dan mengembalikan buku di SD NEGERI 067090 Medan Kota. Kata kunci: Sistem, Informasi, Perpustakaan, Waterfall, Web
Comparative Analysis of the C4.5 and Random Forest Algorithms for the Prediction of Diarrheal Disease Sipra Barutu; Muhammad Iqbal; Khairul, Khairul; Darmeli Nasution
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 4 No. 7 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), August 2025
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Diarrhea remains one of the leading causes of death among infants in Indonesia, especially in areas with limited access to healthcare. Environmental pollution and unhealthy lifestyles are the main causes of its spread. This study aims to compare the performance of the C4.5 and Random Forest algorithms in predicting diarrhea cases among infants in the working area of the Parlilitan Subdistrict Health Center, Humbahas Regency, North Sumatra Province. Secondary data were obtained from medical records and health center reports, which were then analyzed using Python. Model performance evaluation was conducted using the metrics Accuracy, Precision, Recall, F1-Score, Specificity, False Positive Rate (FPR), and True Positive Rate (TPR). The test results showed that the C4.5 algorithm had superior performance with an Accuracy of 0.92; Precision, Recall, and F1-Score of 0.875 each; Specificity of 0.9412; and FPR of 0.0588. Meanwhile, Random Forest obtained an Accuracy of 0.88; Precision of 0.7778; Recall of 0.875; F1-Score of 0.8235; Specificity of 0.8824; and FPR of 0.1176. These findings indicate that C4.5 is more effective in maintaining a balance between prediction accuracy and detection capability, and is better at minimizing classification errors for negative classes.
PENERAPAN DEEP LEARNING YOLO UNTUK PENGUKURAN JARAK OBJEK MENGGUNAKAN MONO KAMERA Herdianto, Herdianto; Nasution, Darmeli; Atmaja, Niko Surya; Ramadhan, Syahrul
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No1.pp51-56

Abstract

Mobile robots are a type of robot that can move from one place to another. Therefore, this type of robot has been given the ability to detect objects and measure estimated distances to objects around it to then carry out actions to turn left and right, forward, backward or even stop to avoid collisions. In general, to measure the distance of objects on mobile robots, ultrasonic sensors such as the HC-SR04 are used and some also use cameras, although they can be used to measure distances, but the use of these sensors has disadvantages, such as the maximum distance that can be measured is 4 meters. Given this deficiency, the research that will be carried out will try a YOLO deep learning method that can detect objects and then measure the distance of objects around them. From the results of the tests that have been carried out, it is known that the distance to the object that can be measured is 31,400 mm with the actual object height being 1750 mm.
Aweb-Based Library Application Design At SMP Negeri 18 Medan Titin Mega Andini Siahaan; Darmeli Nasution; Eko Hariyanto
Jurnal Scientia Vol. 13 No. 03 (2024): Education and Sosial science, June - August 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/scientia.v13i03.2466

Abstract

The school library serves as a vital facility in educational institutions, providing a wide range of materials including books and non-books for teaching and learning purposes. SMP Negeri 18 Medan, located in North Sumatra, Indonesia, is equipped with its own school library. However, the management of these libraries is currently manual, with borrowing and returning recorded transactions using traditional methods, resulting in time-consuming processes for both recording and retrieving book data.
Klasifikasi Penyakit Tanaman Daun Tomat Menggunakan Transfer Learning Andriani, Tuti; Iqbal, Muhammad; Darmeli Nasution
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 6 No. 4 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i4.8948

Abstract

Leaf diseases in tomato plants can significantly reduce crop yields and threaten agricultural sustainability. This study proposes a multi-class classification approach for tomato leaf diseases using transfer learning with pre-trained CNN architectures, specifically DenseNet121 and DenseNet169. The dataset used is a subset of PlantVillage, consisting of six disease classes and healthy leaves, with preprocessing steps including image augmentation and resizing. The training strategy involves two phases: feature extraction and fine-tuning, optimized using the Adam algorithm and categorical cross-entropy loss function. Evaluation metrics such as accuracy, precision, recall, and F1-score show that the DenseNet121 model achieves the best performance, reaching an accuracy of 96.23%, followed by MobileNetV2 with 92.89%. Loss curves and confusion matrix analysis confirm that the model performs classification tasks with stability and high precision, despite some misclassifications between visually similar disease classes. This study demonstrates that transfer learning with DenseNet—particularly DenseNet121 is effective for automatic and efficient classification of various tomato leaf diseases, offering potential for real-world implementation as a computer vision-based plant disease diagnosis system.
Sistem Informasi Absensi Mahasiswa Berbasis QR Code dan Firebase Cindy; Darmeli Nasution; Dr. Leni Marlina
Jurnal Nasional Teknologi Komputer Vol 6 No 2 (2026): April 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In today’s digital era, student attendance systems have become a crucial aspect of education management. This research aims to design and build a QR Code and Firebase-based student attendance information system at UNITAR Penang, Malaysia. This system is expected to improve efficiency and accuracy in the attendance process. The method used in this research is the Agile software development method, which allows for iterative and incremental development.
WEB-BASED COMPUTER SALES INFORMATION SYSTEM DESIGN TO IMPROVE TRANSACTION EFFICIENCY AT ONE COMPUTER STORE Hindun; Irwan; Darmeli Nasution
Bahasa Indonesia Vol 17 No 12 (2026): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i12.468

Abstract

One Computer Store, as a provider of computers, laptops, and other supporting devices, still faces challenges in managing sales transactions, such as manual recording processes, limited market reach, and suboptimal sales growth. This situation affects the efficiency of transactions and the store's competitiveness amid increasingly tight business competition. This research aims to design and build a web-based computer sales information system that is capable of increasing transaction efficiency, expanding the market through online sales, and promoting sales growth. The system development method used is the Prototype model, which includes the stages of requirements analysis, system design, implementation, and testing. The system developed provides key features such as product data management, online sales transactions, customer data management, as well as automatic and real-time sales report generation. The results of the study indicate that the web-based information system designed can assist One Computer Store in improving transaction efficiency with faster and more accurate record-keeping, expanding market reach through internet-based access, and supporting increased sales volume. With this system, One Computer Store has a greater opportunity to improve its business competitiveness in digital literacy.
Co-Authors , Arpan , Muhammad Donni Lesmana Siahaan Abdul Khaliq Ahmad Akbar Ahmad Akbar, Ahmad Ahmad Fakhrizal Pulungan Akbar, Muhammad Caesar Alex Sandro Dabukke Allya Putri Erly Perdani Alviona Marsya Alviona Marsya Ami Abdul Jabar Amren S, Hairul Amril, M. Amrizal Lubis Andi Ernawati Andysah Putera Utama Siahaan Anzas Ibezato Zalukhu Aprina Br Surbakti Arie Candra Panjaitan Asri Santosa Atmaja, Niko Surya Ayu Nuriana Sebayang Badriana Badriana Baehaqi Bagus Setiawan Barutu, Sipra Bayu Putra Pratama Bela Firmantoyo Bhadrappa Haralayya Cindy Danang Putra Pane Desy Ramatika Devina, Annisa Donni Nasution Dr. Leni Marlina Dwiyanto . Edo Edo Eko Hariyanto Eko Hariyanto Eswin Syahputra Fahmi Kurniawan Farta wijaya, Rian Fernando, Ahmad Fikri Yolanda Hadi Prayitno Hafni Hafni Hafni Hafni Herdianto Herdianto Herdianto Herdianto, Herdianto Heri Kurniawan, Heri Hermawan, Bagus Hindun Indrayani, Maida Indri Sulistianingsih IQBAL , MUHAMMAD Iqbal Wiranata Siregar, Jimmy Irwan Irwan Irwan Iswandi Idris Ivana Wardani Jabar, Ami Abdul Jesica Uli Panggabean Juliyandri Saragih Khairul Khairul Khairul Khairul, Khairul Khairun Nasywa Khumairoh, Annisa Kurniawan, Fahmi Leni Marlina Lia Riyanti Liber Tommy Hutabarat Lubis, Darma Putra Ludfia Anggi Safitri Sinaga M Dico Triyadi Maida Indrayani Marsya, Alviona Mentari, Risca Sri Mhd Arfan Sitorus Mhd Imam Maulana Mohammad Yusup Muhammad Ardan Muhammad Faiz Hidayah Muhammad Hidayat Muhammad Indra Muhammad Iqbal Muhammad Iqbal Muhammad Irfan Sarif Muhammad Irsyad Muhammad Mustaqim Muhammad Muttaqin Muhammad Naim Nasution Muhammad Reendy Prayoga Muhammad Sigit Muhammad Syahputra Novelan Muhammad Wahyudi Mutiara Widasari Sitopu Nabila Putri Nabilah Maymoenah Nasywa Rizki Fatihah Nasywa, Khairun Pane, Danang Putra Panjaitan, Albert Parhusip, Nelviony Permata, Dinda Suci Aliya Pranoto, Sugeng Putri Ramadhani Raihan Novalda Zhafira Ramatika, Desy Reqha Naqhita Iswandi Rian Farta Wijaya Rian Farta Wijaya Rian Putra, Randi Rizaldy Khair Rizky Rinaldi Rizwanul Yakin Naution Naution Romani, Daniel D. S Solikhun Sahputra, Fajar Sari, Ayu Ofta SARIFUDIN Sebastian Ferdi Caras Sinuhaji Sebayang, Ayu Nuriana Septiadi, Fahri Siburian, Ramli S Simanjuntak, Yosei Ht Simorangkir, Elsya Sabrina Asmita Sinambela, Sugi Hartono Sipra Barutu Sirait, Donna Nurhaida Masdiana Siregar, Andree Rizky Yuliansyah Sitorus , Zulham Sitorus, Mhd Arfan Sitorus, Zulham Situkkir, Meiarni Solly Aryza Sonia Natasyah Sri Wahyuni Sri Wahyuni Sri Wahyuni Sugeng Pranoto Suherman Suherman Sulis Sutiono Sulistianingsih, Indri Supina Batubara Susilawati Yahya Sutiono, Sulis Syahputra, Afandi Syahrul R, Syahrul Syahrul Ramadhan Syamsiar, Syamsiar Tiara Sylvia Titin Mega Andini Siahaan Tuti Andriani Usman Usman Wadly, Fachrid Wahyudi Sihombing, Ridho Wardani, Ivana Wijaya, Rian Farta Wiko Pratama Winda Erika Wirda Fitriani Yanti Yusman Yoga Yuniadi Yusman, Yanti Zalukhu, Anzas Ibezato Zhafirah Rizki Fadilah Lbs Zuhri Ramadhan