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Darwis Robinson Manalu
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INDONESIA
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi
Published by Universitas Methodist Indonesia
ISSN : 24427861     EISSN : 26143143     DOI : https://doi.org/10.46880/mtk
Core Subject : Science,
Computer Science & IT
JURNAL METHODIKA diterbitkan oleh Program Studi Teknik Informatika dan Program Studi Sistem Informasi Fakultas Ilmu Komputer Universitas Methodist Indonesia Medan sebagai media untuk mempublikasikan hasil penelitian dan pemikiran kalangan Akademisi, Peneliti dan Praktisi bidang Teknik Informatika dan Sistem Informasi. Jurnal ini mempublikasikan artikel yang berhubungan dengan bidang ilmu komputer, teknik informatika dan sistem informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 212 Documents
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SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BANTUAN DARI PEMERINTAH UNTUK SISWA TIDAK MAMPU DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SMP PERMATA DEPOK Firdani, Muhammad Fiqih; Aryo, Ganang; Lubis, Baginda Oloan
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.v11i1.3549

Abstract

This study aims to develop a Decision Support System (DSS) for the process of receiving government assistance for underprivileged students at SMP Permata Depok. The system is designed using the Simple Additive Weighting (SAW) method to help the school determine aid recipients more objectively and efficiently. The SAW method was chosen for its ability to provide structured assessments based on predetermined criteria, such as parental income, family dependents, and academic achievements. The research process involves collecting data on eligible students, determining the weight for each criterion, and calculating the final score for each potential aid recipient. The result of this system is a prioritized list of aid recipients that can be used by the school as a recommendation in decision-making. The implementation of this DSS is expected to improve transparency and accuracy in the selection process, minimizing subjectivity and potential errors in assessments. Evaluation of the system shows that the SAW method is effective in supporting fair and targeted decisions for students in need of assistance.
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.
RANCANG BANGUN SISTEM INFORMASI LES PRIVAT BERBASIS WEB PADA LES PRIVAT MEDAN Ng, Poi Wong; Vanessa Leonora; Filbert; Jerry Johnson; Sinaga, Frans Mikael
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.v11i1.3680

Abstract

Les Privat Medan merupakan salah satu usaha kecil yang bergerak di bidang pendidikan yang memberikan les privat, dimana manajemen kegiatan pembelajarannya masih dilakukan secara manual mulai dari proses pendaftaran, pengaksesan paket, bahan belajar dan penyusunan jadwal, proses pembayaran, hingga pemberian maupun penerimaan informasi seperti berita atau pengumuman. Pencatatan data masih direkap dengan menggunakan microsoft excel, sehingga menyebabkan proses menjadi tidak efisien dan rentan terjadinya kesalahan. Untuk menyelesaikan permasalahan tersebut, maka dirancang dan dibangun sistem informasi les privat dengan metodologi waterfall, analisis sistem dengan diagram use case, dan pengujian dengan metode black-box. Hasil dari perancangan dan pengembangan ini adalah sistem informasi berbasis web yang mampu menyelesaikan permasalahan yang masih dilakukan secara manual dalam manajemen kegiatan pembelajaran pada Les Privat Medan dengan lebih efisien dan terstruktur.
PENERAPAN LIVENESS DETECTION DENGAN METODE NONLINEAR DIFFUSION DAN CONVOLUTIONAL NEURAL NETWORK Ardiansyah, Alvin Christ; Yulian, Hendric; Simon; Gunawan; Winardi, Sunaryo
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

Abstract

With the advancement of increasingly affordable camera technology and the ease of image capture processes, facial recognition has become the biometric authentication method most vulnerable to spoofing attacks. This vulnerability significantly undermines the data integrity and reliability of facial recognition-based attendance systems. Therefore, a liveness detection method is required to help mitigate these spoofing attacks. This study aims to enhance the reliability of existing attendance systems in the teacher and staff attendance application developed for Universitas Mikroskil. In this research, the reliability of the liveness detection system will be tested using a nonlinear diffusion algorithm and Convolutional Neural Network (CNN) against spoofing attacks, employing a confusion matrix method. Based on the conducted tests, the designed liveness detection system achieved an accuracy rate of 87.76%.
SISTEM INFORMASI GEOGRAFIS PEMETAAN LETAK BARBERSHOP PADA KOTA BATURAJA Isnania, Affini Salsabilla; Purnama Sari, Arini; Bila, Firwinca; Utruja, Nur Alifahtul; Pujianto
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.v11i1.3723

Abstract

Barbershop is a men-only barbershop that has spread in the corners of the city. Barbershop is an option for young people from adolescence to adulthood because barbershop provides more services that cannot be obtained in conventional barbershops. With the high interest of visitors and the need for barbershops, often the search for barbershops becomes an obstacle for visitors because they do not know the location of the barbershop they want, especially to find a barbershop in Baturaja is not easy for visitors from outside the area because of the many barbershops that are in the scope of Baturaja, therefore for the search for barbershopsin Baturaja a Geographic Information System is needed that can make it easier to know the location and distance of barbershops. In designing and building a Geographic Information System, map data is needed in the form of location coordinates by observation at each barbershop. Geographic Information System using Google Maps Application as a map of the region, this system is lighter and easier to use because it only focuses on the location and proximity of barbershop. With the Geographic Information System visitors who come in Baturaja will be helped to find the location of the nearest barbershop.
IMPLEMENTASI DAN ANALISIS HONEYPOT BERBASIS COWRIE UNTUK MENDETEKSI SERANGAN SIBER Aulia, Dhafin Rizky; Rahman, Wahyu Arief; Zhacque, Voully Abdullah
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.v11i1.3728

Abstract

The use of the internet in Indonesia has grown rapidly. The Indonesian Internet Service Providers Association (APJII) reported that the number of internet users in Indonesia reached 221,563,479 people in 2024, out of the total population. However, as the number of internet users increases, so do the threats that endanger them. Cybersecurity threats continue to evolve alongside the complexity and sophistication of technologies employed by cybercriminals. In addition to building robust security systems, it is equally important to understand the methods used by attackers to design more effective defense strategies. This is where the concept of honeypots comes into play. A honeypot is a security system designed to mimic vulnerable targets, thereby attracting attackers and revealing the tactics, techniques, and procedures they use. One of the most widely used honeypots is Cowrie. This study utilizes Cowrie as an SSH honeypot to be tested against brute force attacks using Hydra. The results show that Hydra successfully identified 15 username and password combinations from the pre-configured Cowrie system.
PENRAPAN FUZZY TIME SERIES UNTUK PREDIKSI PRODUKSI IKAN TAMBAK DI SUMATERA UTARA Samuel Bakkara; Sri Agustina Rumapea; Edward Rajagukguk
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

Abstract

Fish is one of the most potential animal food products in Indonesia. Over the years, the majority of animal food consumption in Indonesia has been contributed by fish products. The increasing growth rate in North Sumatra is balanced by the food potential that can support the region's food security. Based on data from the fisheries sector potential in North Sumatra, pond fish farming in the province of North Sumatra covers an area of 20,000 hectares, spread across various districts/cities. The pond fish cultivated include catfish, catfish, tilapia, carp, snapper, milkfish, grouper. Given the potential of the pond aquaculture sector and the increasing awareness of the population in North Sumatra to consume fish as a source of nutrition, this research aims to predict pond fish production in North Sumatra. The prediction of pond fish production in North Sumatra is conducted to address the challenges of fluctuating pond fish production, uncertainty in supply and demand using the fuzzy time series method. The results of the study using the Fuzzy Time Series method in forecasting pond fish production in North Sumatra obtained forecast accuracy for catfish of 11.702%, for catfish of 10.359%, for tilapia of 21.636%, for carp of 15.788%, for snapper of 11.487%, for milkfish of 12.87%, for grouper of 12.263%, and for shrimp of 14.814%.).
ANALISIS PENGALAMAN PENGGUNA APLIKASI E-ABSENSI VERSI PENGEMBANGAN DI KECAMATAN ARMA JAYA, BENGKULU UTARA fan, Fanro; Rohati Nely; Supriyanti. Y. I; Dacosta L. A; Sari. O. M; Lestari D
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.v11i1.3878

Abstract

Employee attendance during working hours is crucial as it ensures the provision of quality services to the community. Employee attendance is regulated by Government Regulation No. 94 of 2021 Article 4 letter f. Starting from January 2, 2023, employees of the North Bengkulu Government are required to use an iOS-based digital attendance system. However, various issues have been encountered, such as difficulties in accessing the attendance website and discrepancies in employee attendance time synchronization. To address these problems, the local government has continued to improve and upgrade the system. The urgency of this research lies in the role of user experience in providing feedback on whether the application fulfills its purpose in achieving effectiveness and efficiency. The research aims to evaluate the user experience of the iOS-based e-attendance application. The study employs an exploratory qualitative method. The research findings indicate that the application is relatively efficient in saving time, energy, and budget. Users expressed satisfaction as the application aligns with their needs. However, internet network instability often causes errors during the e-attendance process. The application is also easy to learn due to its user-friendly design and the consistency of its features, which remained unchanged during the implementation of the 2024 upgrade version of the application policy.
OPTIMALISASI SISTEM INFORMASI MANAJEMEN UNTUK EFISIENSI OPERASIONAL: STUDI KASUS DIVISI ICT PT PERTAMINA ASSET 2 FIELD LIMAU Frastio, Agiel; Ade Putra , Reza
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.v11i1.3997

Abstract

The optimization of Management Information Systems (MIS) is a key strategic step in enhancing operational efficiency at the ICT Division of PT Pertamina Asset 2 Field Limau. This process aims to address major challenges, such as inadequate system integration, manual data management, limited staff competence, and outdated technological infrastructure. Solutions implemented include system integration, automation technology adoption, staff training program development, and technology infrastructure upgrades. Results indicate that optimizing MIS reduces data redundancy, accelerates information processing, and supports more accurate data-driven decision-making. Innovative approaches like design thinking also contribute to system efficiency and user engagement improvement. In conclusion, optimizing MIS not only enhances operational efficiency but also strengthens the company's competitiveness in the energy sector through effective technology implementation and improved human resource management.
ANALYZING LECTURER PERFORMANCE FACTORS FROM COURSE EVALUATION SURVEYS USING K-MEANS CLUSTERING AND C4.5 CLASSIFICATION Ariel Alfaro
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 11 No. 2 (2025): Volume 11 Nomor 2 Tahun 2025
Publisher : Universitas Methodist Indonesia

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Abstract

One of the quality of education of a college can be seen from the quality of the performance of the lecturers in the higher education Tridharma namely education, research, and development and community service. This study aims to analyze the lecturer performance factors based on the course evaluation survey on the Tridharma of higher education in the implementation of academic evaluations and decision making for lecturers in the Computer Science study program, Pakuan University. The research method applies a combination of two data mining methods, namely k-means clustering and C4.5 classification used in the assessment of the performance of lecturers, especially in the process of education and college teaching which includes pedagogical, professional, personality and social competencies. The results of the K-means clustering mining process were assessed by learning, namely 5 sufficient lecturer clusters, 16 good cluster lecturers and 14 excellent cluster lecturers. C 4.5 classification is used to see the connectedness of factors such as learning, publication, education, PKM, support. This study shows that publication criteria are the most influential factors in the performance assessment of lecturers. Testing the level of accuracy using the K-fold Cross Validation method with 5-fold Cross Validation is 80.00% and 7-fold Cross Validation which is 82.86%.

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