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All Journal Jurnal Teknologi Pendidikan CESS (Journal of Computer Engineering, System and Science) Sinkron : Jurnal dan Penelitian Teknik Informatika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Pendidikan dan Konseling JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Pengabdian kepada Masyarakat JEBDEKER: Jurnal Ekonomi, Manajemen, Akuntansi, Bisnis Digital, Ekonomi Kreatif, Entrepreneur Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN Sisfo: Jurnal Ilmiah Sistem Informasi Electron: Jurnal Ilmiah Teknik Elektro Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) International Journal of Information System and Innovative Technology
Agnes Irene Silitonga
Universitas Negeri Medan
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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IMPLEMENTASI ALGORITMA J48 PADA PENGKLASIFIKASIAN PENGGUNAAN KECERDASAN BUATAN SEBAGAI MEDIA BANTU BELAJAR MAHASISWA Silitonga, Agnes Irene; Lumban Toruan, Anjel Monika; Panjaitan, Bon Jovi Marselino; Nerva, Souza Al-Gibrani; Simamora, Yoakim; Sinaga, Ferry Indra Sakti H.
JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN Vol. 11 No. 2 (2024): Desember - Jurnal Teknologi Informasi dan Komunikasi dalam Pendidikan
Publisher : Pascasarjana Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jtikp.v11i2.66803

Abstract

Penelitian ini bertujuan untuk mengimplementasikan algoritma J48 guna mengklasifikasikan faktor-faktor yang terpengaruh oleh penggunaan media kecerdasan buatan dalam proses belajar mahasiswa. Metode yang digunakan adalah algoritma J48, di mana perhitungan entropi dan gain informasi dilakukan pada setiap atribut untuk menentukan faktor-faktor paling signifikan yang mempengaruhi keberhasilan akademik. Dalam penelitian ini, atribut yang digunakan meliputi Indeks Prestasi Kumulatif (IPK), jenis media kecerdasan buatan yang digunakan seperti tutor virtual atau alat bantu belajar berbasis kecerdasan buatan, frekuensi penggunaan media tersebut, dan label hasil yang diperoleh. Hasil dari penelitian menunjukkan bahwa integrasi kecerdasan buatan yang semakin pesat di lingkungan pendidikan memberikan dampak yang signifikan terhadap kinerja mahasiswa.
KLASTERISASI KABUPATEN DAN KOTA DI PROVINSI SUMATERA UTARA BERDASARKAN INDUSTRI KECIL DAN MIKRO MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING Irene Silitonga, Agnes; Akbar Lubis, Ali; Darma, Jufri; Indra H Sinaga, Ferry; Simamora, Yoakim
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13797

Abstract

Industri kecil dan mikro memiliki peran strategis dalam perekonomian daerah, terutama dalam meningkatkan kesejahteraan masyarakat dan mendorong pertumbuhan ekonomi. Penelitian ini bertujuan untuk mengklasterisasi kabupaten dan kota di Provinsi Sumatera Utara menggunakan algoritma K-Means Clustering. Data yang digunakan meliputi jumlah unit usaha, tenaga kerja, dan pinjaman modal bank di setiap wilayah. Metode K-Means Clustering dipilih karena kemampuannya dalam mengklasterisasi data berdasarkan kemiripan karakteristik sehingga dapat memberikan gambaran klasifikasi wilayah dengan potensi industri kecil dan mikro yang serupa. Hasil penelitian menunjukkan bahwa kabupaten dan kota di Provinsi Sumatera Utara dapat diklasterisasikan menjadi tiga klaster yaitu klaster rendah, sedang, dan tinggi. Hasil klasterisasi ini diharapkan dapat menjadi dasar bagi pemerintah daerah dalam merancang kebijakan yang lebih efektif untuk pengembangan industri kecil dan mikro di masing-masing wilayah, seperti alokasi bantuan modal, pelatihan, dan penguatan rantai pasok industri.
ANALISIS PREFERENSI PEMILIHAN SISTEM OPERASI SMARTPHONE MENGGUNAKAN ALGORITMA C4.5 Irene Silitonga, Agnes; Melvi Ginting, Lisa; Simamora, Yoakim; Indra H Sinaga, Ferry
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.13953

Abstract

Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor utama yang mempengaruhi preferensi mahasiswa dalam memilih sistem operasi smartphone (Android atau iOS). Data diperoleh dari 1000 mahasiswa di Provinsi Sumatera Utara menggunakan metode pengambilan dilakukan secara acak dan dikumpulkan melalui kuesioner daring. Analisis dilakukan dengan algoritma C4.5, yang dipilih karena kemampuannya dalam mengelola data kategorikal dan memberikan interpretasi berupa pohon keputusan yang mudah dipahami. Hasil penelitian menunjukkan bahwa faktor yang paling signifikan dalam pemilihan sistem operasi adalah aktivitas mahasiswa dalam memposting di media sosial dan kebiasaan memotret. Mahasiswa yang aktif memposting di media sosial dan suka memotret cenderung lebih memilih smartphone Android dibandingkan iOS. Temuan ini memberikan implikasi praktis bagi perusahaan teknologi dalam merancang strategi pemasaran yang lebih tepat sasaran, khususnya dalam pengembangan fitur yang berorientasi pada aktivitas sosial dan multimedia.
Metode USG dan Waterfall Pada Perancangan Sistem Informasi Berbasis Website Ginting, Lisa Melvi; Silitonga, Agnes Irene; Situmorang, Hasianna Nopina; Sinaga, Ferry Indra H; Simamora, Yoakim
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 9 No. 1 : Tahun 2024
Publisher : LPPM UNIKA Santo Thomas

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

Abstract

The designed information system is expected to optimize the activities of an SME. The design of this information system is website-based. Website can make easier for customers and potential customers to make purchase product and get to know about product. Website also can be used for marketing. Waterfall method is used for design information system web-based. Waterfall method contains analysis requirement, design, implementation, testing, and maintenance. Requirement that have been analyzed then be designed. This research uses UML diagram in design process such us use case, activity diagram, sequence diagram, database diagram. The model that has been designed then implemented by using PHP and MySQL. The next stage is verification by user. Verification test to know if website run well. Testing is held by SME, this testing contain system testing and function testing. The final stage in the waterfall method is maintenance. The Urgency, Seriousness, Growth (USG) method is used to show the priority scale in determining problem issues in SMEs.
PENDAMPINGAN PEMBUATAN MEDIA PEMBELAJARAN STEM-PBL BERBASIS ARTIFICIAL INTELLIGENT (AI) UNTUK MGMP KIMIA SMA KABUPATEN DELI SERDANG Sari, Dwy Puspita; Dibyantini, Ratu Evina; Silitonga, Agnes Irene; Nst, Mutiara Agustina; Ardila, Mutia
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 5 (2025): Oktober 2025
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v5i5.11338

Abstract

This activity aimed to enhance partners’ expertise in developing AI-based STEM-PBL learning materials, thereby advancing education, science, technology, and human resource development. It also provided training, technology application, and support to improve the quality of education through innovative learning media. Key issues identified included teachers’ low motivation to create technology-based resources, students’ lack of enthusiasm, limited technology use in chemistry classes, and teachers’ insufficient skills in utilizing digital tools. To address these challenges, strategies such as socialization, training, technology deployment, mentorship, and evaluation were implemented. These efforts focused on encouraging teachers and students to engage in problem-solving and innovative learning practices. The program’s effectiveness was reflected in the improvement of participants’ understanding, shown by an increase in the mean pretest score (51.43) to the posttest score (79.13). Thus, the objectives of enhancing mastery of the material and applying knowledge in practice were successfully achieved.
Analisis Algoritma J48 Pada Pengambilan Keputusan Pemberian Pinjaman Kepada Calon Nasabah Silitonga, Agnes Irene; Ginting, Lukas; Sinaga, Enjelina; Zega, Elson; Sembiring, Samuel; Simamora, Yoakim
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (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.Vol8No2.pp281-293

Abstract

This research aims to analyze the stages of decision making for granting loans to prospective customers using the J48 Algorithm. Using the "Loan-Approval-Prediction-Dataset" dataset obtained from Kaggle, this research will build a decision tree model that can provide insight into the key factors that influence the decision. It is hoped that the results of this research can contribute to financial institutions in increasing accuracy, efficiency and objectivity in the credit evaluation process, as well as helping prospective customers understand the factors that need to be considered to increase their chances of loan approval.
PERBANDINGAN OPENSHIFT DAN CLOUD FOUNDRY SEBAGAI PLATFORM-AS-A-SERVICE SOFTWARE : STUDI LITERATUR Silitonga, Agnes Irene; Chintia Ni; Haryadi
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 10 No. 1 (2024): Volume 10 Nomor 1
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v10i1.2601

Abstract

Penelitian ini bertujuan untuk melakukan analisis perbandingan antara dua aplikasi cloud terkemuka, yaitu OpenShift dan Cloud Foundry. Analisis ini mencakup beberapa aspek kunci, termasuk arsitektur, integrasi, pengembangan aplikasi front-end, Vendor Outlook and Evolution, skalabilitas, bahasa dan teknologi, komunitas dan dukungan, biaya dan lisensi, serta fleksibilitas deployment. Melalui penelitian ini, disajikan perbandingan yang komprehensif antara OpenShift dan Cloud Foundry, mempertimbangkan kelebihan dan kelemahan masing-masing platform. Artikel ini memberikan wawasan yang berguna bagi organisasi atau pengembang yang sedang mempertimbangkan antara kedua platform ini, membantu dalam membuat keputusan yang tepat untuk kebutuhan cloud, dan mengembangkan aplikasi.
KLASTERISASI GIZI BURUK DAN STUNTING DI PROVINSI SUMATERA UTARA MENGGUNAKAN K-MEANS CLUSTERING Silitonga, Agnes Irene; Zada Annuri Nabila; Cinta Rizkia Zahra Lubis; Nurdina Safitri; Haryadi
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 10 No. 2 (2024): Volume 10 Nomor 2
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v10i2.3147

Abstract

The objective of this study is to map the priority areas for addressing malnutrition and stunting in the province of North Sumatra. The data used consists of malnourished children and the prevalence of stunting in the North Sumatra Province in 2023, which will be analyzed using K-Means Clustering. Based on the analysis results, the priority for addressing malnutrition in North Sumatra Province is in cluster 2, namely Batu Bara Regency and Medan City, with a centroid value of 63. Meanwhile, the priority for addressing stunting has been identified in cluster 0, which includes Karo Regency, Pakpak Bharat, Batu Bara, West Nias, and Padangsidempuan City, with a centroid value of 17.46. This research is expected to provide valuable information for stakeholders in formulating targeted policies and programs to address malnutrition and stunting in North Sumatra.
KLASIFIKASI FAKTOR PENYEBAB PERCERAIAN MENGGUNAKAN ALGORITMA C4.5 Silitonga, Agnes Irene; Darwita Arini Nasution; Histi Trifesi Naibaho; Selvia Apriani; Dewi Pika Lumban Bantu
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 11 No. 1 (2025): Volume 11 Nomor 1 Tahun 2025
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v11i1.3584

Abstract

Divorce is a complex social phenomenon that has significant impacts on individuals and society. In Indonesia, divorce is a serious concern for the government and society because the divorce rate has continued to increase in recent decades. Understanding the factors that contribute to divorce is essential to developing effective prevention strategies. The objective of this study is to classify the factors of divorce in Indonesia using the C4.5 algorithm, an algorithm used for data mining in building decision trees. This study used divorce data from 20 provinces in Indonesia in 2023 with various factors causing divorce. Divorce data was obtained from the Central Statistics Agency of Indonesia. The research process includes data collection, data pre-processing, and application of the C4.5 algorithm to build a classification model. The results of the study showed that continuous disputes and quarrels, apostasy, and economy are the most significant factors in divorce. The research results are expected to be a reference for policy makers and marriage counselors in formulating appropriate interventions to reduce divorce rates. The findings of this study can also serve as a foundation for establishing more effective policies and interventions to reduce divorce rates and enhance family institutions in Indonesia.
Optimasi Penempatan dan Penentuan Kapasitas Distributed Generator Menggunakan Cucko Search Algorithm untuk Mengurangi Rugi Daya Agnes Irene Silitonga; Simamora, Yoakim; S, Muhammada Aulia Rahman; Dewy, Mega Silfia; Silitonga, Agnes Irene; Ginting, Lisa Melvi
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 2: Jurnal Electron, November 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i2.409

Abstract

Power losses in electrical distribution systems remain a major challenge that significantly impacts energy efficiency and system reliability. One promising approach to address this issue is the optimal placement and sizing of Distributed Generators (DGs) within the distribution network. This study aims to optimize DG placement and capacity using the Cuckoo Search Algorithm (CSA) and to compare its performance with several other algorithms, namely the Black Squirrel Optimization Algorithm (BSOA), Sine Cosine Algorithm (SCA), Teaching Learning Based Optimization - Grey Wolf Optimizer (TLBO-GWO), and GWO. The study was conducted on the IEEE 33-bus test system under two scenarios, with the initial condition of the distribution system exhibiting a power loss of 202.7 kW. In First Case Study, CSA achieved the lowest power loss of 105.31 kW, corresponding to a 48.05% reduction. In contrast, BSOA and TLBO-GWO reduced losses to 116.67 kW (42.44%) and 128.46 kW (36.62%) respectively. In Second Case Study, CSA again demonstrated superior performance with a loss reduction of 56.66%, outperforming SCA (56.33%), BSOA (55.97%), and GWO (55.82%). The optimal DG placement and sizing significantly improved overall system efficiency. The results indicate that CSA possesses strong exploration and convergence capabilities in identifying optimal DG configurations. Its application enables greater reduction in power losses while also enhancing voltage profiles and system stability. These findings suggest that CSA is an effective and competitive method for power distribution optimization involving distributed generation
Co-Authors Adi Widarma, Adi Agnes Putri Farida Sitorus Akbar Lubis, Ali Ali Akbar Lubis Anisa Fitri Azmi, Aqilah Bakti Dwi Waluyo Batu, Dewi Pika Lbn Caca Pratiwi Chintia Ni Cinta Rizkia Zahra Lubis Darwita Arini Nasution Dewi Pika Lumban Bantu Enjelina Sinaga Erita Astrid Erni Rukmana Ferry Indra Sakti H. Sinaga Fihi Khoirani Sihotang Ginting, Lukas Hafiz Irwandi Hafiz, Fahrul Al-hamdi Haryadi Haryadi - Hastuti, Pebri Hidayatullah, Amar Histi Trifesi Naibaho Immanuel, Michael Fritz Irwandi, Hafiz Jufri Darma Kanaya Yori Damanik Lisa Melvi Ginting Lumban Toruan, Anjel Monika Mega Silfia Dewy, Mega Silfia Melvi Ginting, Lisa Michel Frits Immanuel Muhammad Isnaini Mutia Ardila Mutiara Agustina Nst Mutiara Akbar Nasution Nerva, Souza Al-Gibrani Nurdina Safitri Panjaitan, Bon Jovi Marselino Panjaitan, Gabriella Dominggoes Prayoga, Wira Pulungan, Annisa Fadhillah Ramadhan, Taufiq Ratu Evina Dibyantini Rizwinie, Khesya Sabila Rudy Chandra S, Muhammada Aulia Rahman Sari, Dwy Puspita Selvia Apriani Sembiring, Muhammad Aulia Rahman Sembiring, Samuel Siahaan, Parlaungan Gabriel Silaban, Fanny Margaretha Simamora, Windi Saputri Sinaga, Ferry Indra Sakti H Situmorang, Hasianna Nopina Teguh Fachri Fahros Thohiri, Roza Tumangger, Emya Malum Karina Tyas Permatasari Vetric Styven Silaban Yatty Destani Sandy Yoakim Simamora Yoakim Simamora Zada Annuri Nabila Zega, Elson