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Menampilkan 1–10 dari 393 artikel
The Role of TikTok and Instagram Reels Algorithms in Short-Form Video Content Distribution: A Systematic Literature Review
Proceeding. of The International Conference on Business and Economics
Vol 4
, No 1
(2026)
This study aims to analyze how the TikTok and Instagram Reels algorithms play a role in the distribution of multimedia content and their implications for content visibility, user engagement, and digital marketing practices. The research method used is a qualitative approach through a Systematic Literature Review by analyzing articles from accredited national journals and reputable international journals published in the period 2020-2025. The literature search process was carried out systematical...
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Model Machine Learning untuk Klasifikasi Loyalitas Pelanggan Menggunakan Random Forest
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
This research develops a machine learning model to classify customer loyalty using the Random Forest algorithm. Customer churn is a critical issue that reduces revenue and increases acquisition costs. A dataset of 50,000 customers from global e-commerce and subscription platforms was processed through data cleaning, imputation, outlier handling, and class balancing with SMOTE. The Random Forest model was built as a baseline and optimized with hyperparameter tuning. Evaluation using accuracy, pre...
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Analisis Desain Pengaduk terhadap Aliran Fluida pada Rancang Bangun Mesin Pencuci Jig di PT UVW
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Vol 4
, No 1
(2026)
PT UVW uses jigs in the vacuum metalizing process that require washing, which is currently done manually, resulting in inefficiency and risks to operators, thus, jig washer machine was created in order to reduce the risk for operators and increasing efficiency, which based on horizontal mixer. This study analyses the effect of agitator design on fluid flow patterns in a jig washing machine to obtain an optimal design. Two agitator design alternatives were developed and tested using Computational...
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Analisis Peran Manajer Lapangan dalam Optimalisasi Manajemen Sumber Daya Manusia pada Proyek Konstruksi di Kota Malang
Konstruksi: Publikasi Ilmu Teknik, Perencanaan Tata Ruang dan Teknik Sipil
Vol 4
, No 1
(2026)
This research looks into how site managers in construction projects in Malang City manage and improve their use of human resources. The research is driven by the significance of effective human resource management in ensuring project success and the lack of studies focusing on the operational strategies of site managers within a local context. This study uses a quantitative method that is both descriptive and analytical. It involves giving out a survey to 40 people, including site managers, cont...
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Pembatasan Laju Adaptif Berbasis Verifiable Delay Function untuk Mitigasi Penyalahgunaan API pada Gateway Edge Ringan
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Vol 4
, No 1
(2026)
API abuse on lightweight edge gateways has intensified as microservice-based services expose many REST endpoints to heterogeneous clients. Conventional per-identity rate limiting, such as static token buckets, is frequently bypassed through distributed bots and identity rotation, while legitimate burst traffic may be rejected and degrade user experience. This study proposes Adaptive Rate Limiting with Verifiable Delay Functions (ARL-VDF), which couples a lightweight risk score with selective VDF...
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Penerapan E-Commerce bagi UMKM sebagai Pemasaran Digital dalam Menghadapi Revolusi Industri 4.0
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 4
, No 1
(2026)
The development of digital technology and the Industrial Revolution 4.0 have driven significant changes in marketing activities, including for Micro, Small, and Medium Enterprises (MSMEs). The use of e-commerce has become an important digital marketing strategy for MSMEs to increase competitiveness and business revenue. This study aims to examine the role of e-commerce implementation as a digital marketing tool for MSMEs in facing the Industrial Revolution 4.0 and analyze its impact on increasin...
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Perbandingan Waktu Pemecahan Password Menggunakan Algoritma Hash MD5, SHA-256, dan SHA-512 pada Serangan Brute Force
Nur Bainatun Nisa
; Noni Fauzia Rahmadani
; Aulia Kartika Dewi
; Luftia Rahma Nasution
; Dzilhulaifa Siregara
; Rifdah Syahputri
; Ibnu Rusydi
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Vol 4
, No 1
(2026)
Password security is a critical component in protecting information systems, as passwords are often the primary target of various attacks, particularly brute force attacks. A brute force attack works by systematically attempting all possible character combinations until the correct password corresponding to a stored hash value is found. Therefore, the choice of an appropriate hash algorithm plays a significant role in determining a system’s resistance to such attacks. This study aims to analyze...
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An Adaptive Computational Model for Detecting Concept Drift in Long Term Data Streams Using Incremental Learning Approaches
Indonesian Journal of Infomatics
Vol 1
, No 1
(2026)
Concept drift, the phenomenon where the statistical properties of data streams change over time, poses a significant challenge in machine learning, particularly for long term data streams. Traditional machine learning models, including batch learning and non-adaptive approaches, struggle to detect and adapt to these changes, leading to degraded performance and inaccurate predictions. This study proposes an adaptive computational model designed to detect and respond to concept drift using increme...
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Hybrid Apriori–MST Framework for Revealing the Structural Backbone of Consumer Purchase Patterns
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
Traditional association rule analysis is effective at uncovering co-purchase patterns but fails to provide a global structural view of the market, which often results in fragmented and isolated insights. This study proposes a hybrid framework that integrates the Apriori algorithm with a Minimum Spanning Tree (MST) in order to validate and contextualize association rules within a single structural backbone. Transaction data from a retail store are transformed into a weighted, undirected product g...
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Meningkatkan Deteksi Tumbuh Kembang Melalui Program Edukasi Keluarga
Hadi Guawan
; Zahida Azzahra
; Perdina Rantika Nasution
; Arnis Syanti
; Nurlianti Nurlianti
; Diva Trisna Hartaty
Inovasi Pendidikan dan Anak Usia Dini
Vol 3
, No 1
(2026)
Early detection of child growth and development is a crucial effort to prevent developmental delays and health problems in children. Family involvement plays a significant role because the family is the closest environment to the child and has continuous interaction in daily life. This study aims to analyze the effectiveness of a family education program in improving parents’ knowledge and skills in detecting child growth and development. The research employed a quantitative approach with a quas...
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