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DINAMIKA DOTCOM
Published by STMIK PRADYA PARAMITA
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Core Subject : Science,
Jurnal DINAMIKA DOTCOM merupakan jurnal pengembangan bidang ilmu Manajemen, Informatika dan Komputer yang diterbitkan 2 kali setahun (Januari dan Juli) oleh Lembaga Penerbitan STMIK PPKIA Pradnya Paramita Malang Redaksi menerima kiriman naskah dari para penulis (peneliti, dosen, professional dan pemerhati lain) di bidang teknologi informasi dan komputer
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Articles 211 Documents
Perbandingan Analisis Konten Berbasis Aida Dengan Metrik Engagement Instagram: Studi Kasus @Malanggateway Hafiz Nafi’uddin
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer Vol 17 No 1 (2026): DINAMIKA DOTCOM Vol.17 No.1 Tahun 2026
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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Abstract

This study aims to analyze the effectiveness of @malanggateway's Instagram promotional content by comparing the AIDA (Attention, Interest, Desire, Action) model approach and factual engagement metrics from Instagram Insights. This study uses a descriptive quantitative method with a comparative approach, analyzing six paid advertising content selected through a purposive sampling technique during the period of January–December 2024. Engagement data includes metrics likes, comments, saves, shares, link clicks and reach, while AIDA scores were obtained through a questionnaire with 35 respondents. The three content with the highest engagement had an average score of 3.83 with an average AIDA score of 4.37, while the three content with the lowest engagement had a score of 0.50 with an average AIDA score of 4.33. The results show that although most content has a high AIDA score, this is not always directly proportional to actual engagement on Instagram. This finding suggests that the success of promotional content depends not only on the strength of the communication structure, but also on visual factors, upload time, and audience preferences. In conclusion, the AIDA model is effective as a content development framework, but it needs to be combined with social media metrics analysis for a more optimal marketing strategy.
Analisis Cluster Tingkat Perceraian Di Kota Malang Menggunakan Algoritma Agglomerative Hierarchical Clustering (Ahc) Cholifatul Maulidia; Rahayu Widayanti; Dwi Safiroh Utsalina
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer Vol 17 No 1 (2026): DINAMIKA DOTCOM Vol.17 No.1 Tahun 2026
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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Abstract

The high divorce rate in Malang City is a social issue that requires data-driven analysis to support targeted policy formulation, leading this study to analyze the patterns and characteristics of divorce at the Malang City Religious Court using the Agglomerative Hierarchical Clustering (AHC) algorithm with the Average Linkage method. Utilizing a dataset of 5,891 cases from the 2022–2024 period—including attributes such as divorce type, ages of the parties, causal factors, and the district of marriage—the research followed the CRISP-DM framework and employed the Davies-Bouldin Index (DBI) to determine that the optimal number of clusters was 10 for 2022, 2023, and the combined data, and 11 for 2024. The findings reveal that the 20–30 age range is the group most vulnerable to divorce, primarily driven by constant disputes and arguments, with Kedungkandang, Sukun, and Blimbing identified as the districts with the highest divorce rates. Ultimately, this research serves as a foundation for relevant authorities to design more targeted divorce prevention programs based on specific regional and demographic characteristics.
Simulasi Website E-Commerce Toko Sujarwo Aluminium Bayu Aditya Saputra; Liduina Asih Primandari; Indah Dwi Mumpuni
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer Vol 17 No 1 (2026): DINAMIKA DOTCOM Vol.17 No.1 Tahun 2026
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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Abstract

Sujarwo Aluminum was founded by Mr. Eko Sujarwo. This shop focuses on the production of aluminum products in Nganjuk Regency. The products offered include windows, doors, frames, display cases, kitchen sets, shelves, cupboards and TV tables, with a production capacity of 2 to 10 projects per month. Currently, the product ordering process is still done conventionally via telephone or direct visit to the shop, but this method is considered less efficient by Mr. Eko Sujarwo. Conventional processes can cause several obstacles, such as the absence of Mr. Eko Sujarwo when contacted and the need for customers to come directly, causing the need for more efficient ordering methods. The proposed solution to overcome these obstacles is the development of an E-commerce website simulation using quantitative methods to facilitate online product ordering. This platform will increase sales efficiency, provide easily accessible product information, and reduce dependence on third-party platforms. The research results show that with the E-commerce website, customers can place orders in less than 1 hour compared to the previous time of 2-4 hours. Based on this research, an increase in efficiency of 50% -75% was obtained.
Implementasi Front-End Development Menggunakan Next.js Dalam Mendukung Aktivitas Akademik Dosen Refin Dhani Eka Purnama; Weda Adistianaya Dewa
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer Vol 17 No 1 (2026): DINAMIKA DOTCOM Vol.17 No.1 Tahun 2026
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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Abstract

The Academic Information System (SIAKAD) plays an important role in supporting academic activities in higher education institutions. This study applies front-end development using the Next.js framework to replace the previous Angular 10-based system, which faced performance and maintenance issues. The development process follows an iterative Agile approach, including requirement planning, use case diagram preparation for both lecturers and students, interface implementation, API integration, testing, deployment, and maintenance. The implementation results show that the system enables lecturers to validate KRS, review academic results, manage attendance, and access transcript copies, while students can fill out KRS, view KHS, monitor CPL/CPMK, and manage personal data. Blackbox testing confirmed that all features function as expected. The use of Next.js offers advantages in rendering performance, modular component development, and API integration efficiency, making the system optimal, maintainable, and ready for future development.
Optimalisasi Sistem Akademik Melalui Desain UI/UX: Integrasi Fungsi Fitur Dosen Pada Aplikasi SIAKAD STIMATA Menggunakan Metode Heuristic Evaluations (HE) Zulkaria Irawan; Mochamad Husni
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer Vol 17 No 1 (2026): DINAMIKA DOTCOM Vol.17 No.1 Tahun 2026
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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Abstract

The Academic Information System (SIAKAD) at STIMATA plays a crucial role in supporting academic processes, particularly for lecturers as active users. However, challenges remain, including unintuitive interfaces, limited features, and unclear user role distinctions. This study aims to evaluate the usability of SIAKAD’s interface from the lecturer’s perspective using the Heuristic Evaluation (HE) method. The evaluation involved 22 lecturers who assessed issues based on Nielsen’s 10 usability heuristics. Each issue was rated using a severity scale from 0 to 4. The results revealed several heuristic violations affecting the system’s effectiveness and efficiency. This study provides prioritized improvement recommendations to enhance user experience and support the development of a more responsive and user-centered interface for lecturers
Sistem Pendukung Keputusan Berbasis Metode Ahp Untuk Seleksi Siswa Kelas Industri Pada Konsentrasi Keahlian Rekayasa Perangkat Lunak Di SMKN 6 Malang Dheni Wibawanto; Weda Adistianaya Dewa
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer Vol 17 No 2 (2026): DINAMIKA DOTCOM Vol.17 No.2 Tahun 2026
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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Abstract

Vocational education plays a strategic role in producing human resources ready to compete in the workforce. Vocational High Schools (SMKs) are designed to equip students with technical and non-technical skills relevant to industry needs. Industrial classes have become flagship programs in various SMKs, including SMKN 6 Malang, to bridge the gap between industry demands and graduates' competencies. However, the success of this program highly depends on the precise selection of students who can demonstrate their best potential in an industry-based environment. The student selection process for industrial classes at SMKN 6 Malang faces challenges due to conventional selection systems, which are often ineffective in handling many applicants with complex criteria, such as academic performance, technical skills, and students' interest and motivation. The Analytic Hierarchy Process (AHP) method is an effective approach to addressing selection issues involving multiple criteria. AHP breaks down problems into a simple hierarchy, allowing each criterion and alternative to be analyzed in depth. In the context of student selection, AHP can integrate quantitative criteria, such as academic performance, and qualitative criteria, such as interview results or personality tests, to produce more objective and transparent decision-making. Previous studies have shown that the AHP method has been widely applied in various fields, including education, with satisfactory results.
Sistem Pendukung Keputusan Penilaian Pegawai Terbaik di Kecamatan Singosari Menggunakan Metode Analytical Hierarchy Process (AHP) dan Simple Additive Weighting (SAW) Nur Faiza Zuhro; Dwi Safiroh Utsalina
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer Vol 17 No 2 (2026): DINAMIKA DOTCOM Vol.17 No.2 Tahun 2026
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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Abstract

Human resources play a crucial role in optimizing the productivity of public service institutions, such as the Singosari District Office in Malang Regency. The existing semi-manual employee evaluation process is prone to calculation errors, human error, and slow data recapitulation. To address these issues, this study developed a web-based Decision Support System (DSS) combining the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. Within this system, AHP consistently determines criteria weights, while SAW calculates final preference values to rank employees quickly and objectively. Built using PHP, MySQL, and the CodeIgniter framework, the system effectively enhances evaluation accuracy and transparency. Based on SAW calculations, alternative A5 emerged as the top-performing employee with the highest score of 0.985. System evaluation via Black Box Testing confirmed that all functions are valid, while User Acceptance Testing (UAT) demonstrated a 94% user acceptance rate, placing it in the "excellent" category.
ANALISIS PENERAPAN SEO OFF PAGE UNTUK MENINGKATKAN KUNJUNGAN PADA SISTEM INFORMASI E-COMMERCE AKU KARLOS BERBASIS WEB DENGAN METODE WATERFALL Dian Asri Estitika; Eni Farida
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer Vol 17 No 2 (2026): DINAMIKA DOTCOM Vol.17 No.2 Tahun 2026
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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The AKU KARLOS (Aku Cinta Karangploso) MSME Association in Karangploso District, Malang Regency, faces marketing challenges due to the limitations of traditional methods, such as direct sales and gallery consignments, which restrict market reach and operational hours. The proposed solution involves developing a WordPress CMS-based e-commerce information system and implementing an Off-Page SEO strategy. Research findings indicate a significant increase in daily website visits following the implementation of Off-Page SEO. Google Analytics analysis records a 16.9% increase in organic traffic contribution, leading to an overall rise in visits, particularly within main product categories. This increase indicates three key points: enhanced website visibility on search engines due to improved organic rankings; growing consumer interest in AKU KARLOS MSME products; and the successful execution of an integrated marketing strategy combining Off-Page SEO with direct promotion. Although the rise in website visitors serves as a positive indicator, converting visitors into customers still requires an optimal strategy mix. Beyond SEO, factors such as product relevance to market demand, comprehensive information, guaranteed product quality, effective promotional efforts, and customer testimonial management play a vital role in driving sales growth and profitability, ultimately enabling MSMEs to compete in a broader market.
KLASIFIKASI PENERIMA BANTUAN SOSIAL PROGRAM KELUARGA HARAPAN (PKH) KECAMATAN GONDANGLEGI MENGGUNAKAN METODE NAÏVE BAYES Muhammad Rifat; Tubagus Mohammad Akhriza
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer Vol 17 No 2 (2026): DINAMIKA DOTCOM Vol.17 No.2 Tahun 2026
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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The Family Hope Program (PKH) is a crucial social assistance initiative for poverty reduction in Indonesia; however, the misallocation of aid remains a primary challenge. This study aims to improve the accuracy of classifying PKH recipients in Gondanglegi District using the Naïve Bayes method, focusing on socioeconomic data. The research employs the Gaussian Naïve Bayes algorithm, utilizing data from 1,000 PKH recipients characterized by 18 attributes grouped into four aspects: health, education, social welfare, and poverty. The process encompasses data preparation, attribute selection, data splitting (using 80:20, 70:30, and 60:40 ratios), and the encoding of categorical variables via One-Hot Encoding. Model evaluation was conducted using a confusion matrix to calculate accuracy, precision, recall, and F1-score. The results indicate that the Gaussian Naïve Bayes model achieved the highest accuracy—96.5%—with an 80:20 data split ratio. The model proved effective in classifying PKH recipients with a high degree of precision, thereby supporting more targeted decision-making by local government authorities. Consequently, implementing this method can enhance the efficiency and effectiveness of social assistance distribution within the PKH program.
APLIKASI PENJUALAN PRODUK THRIFT BERBASIS WEB PADA TOKO DESECOND.MLG Kanti Wilujeng; Heri Purnomo; Linda Suvi Rahmawati
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer Vol 17 No 2 (2026): DINAMIKA DOTCOM Vol.17 No.2 Tahun 2026
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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Desecond.mlg is a business that is engaged in the sale of second-hand clothes or used goods commonly referred to as Thrift. Currently, Desecond.mlg still uses conventional methods in its business, such as buyers who must come directly to the physical store or use personal Instagram and Whatsapp to order products that seem difficult because all processes are still manual, such as the process of choosing products, filling in personal data, the payment confirmation process, checking shipping costs, and product stock management. Therefore, this research aims to help manage the buying and selling transaction process by minimizing manual processes in the old method. The method used in this system design is the SDLC (System Development Life Cycle) method with a Waterfall approach and CMS (Content Management System) WordPress. The implementation results of this system are the establishment of a sales application that can help with marketing, product data management and reporting well, information delivery, as well as helping to manage the buying and selling transaction process with a computerized system.