VOCATECH: Vocational Education and Technology Journal
type: channel
description: ABOUT JOURNAL E-ISSN :2716-5183 (online) P-ISSN : 2686-4770 (print) Accreditation Number : 105/E/KPT/2022 (SINTA 3) Frequency : Biannual (April and October) Citation Analysis : Dimensions, Google Scholar Publisher : LPPM AKN Aceh Barat dan ADGVI (View MoU) DOI Prefiks : https://doi.org/10.38038 Vocatech: Vocational Education and technology Journal ( p-ISSN 2716-5183 , e-ISSN 2686-4770 was launched in 2019. It is an academic journal jointly published by Akademi Komunitas Negeri Aceh Barat and Asosiasi Dosen dan Guru Vokasi Indonesia based on the Memorandum of Understandingsigned between the two parties. Vocatech is published twice a year in April and October with the first volume being issued in October, 2019 with only one Issue. Since Vol.5 Issue 1, the journal charge the publication fee of IDR 800.000,- for accepted article. Previously the publisher held the copyright of the journal. Since 2021 the journal is published under CC-BY-SA Creative Commons Attribution-ShareAlike 4.0 International License. Articles published in Vocatech are based on the results of research and scientific reviews of contemporary phenomena in the field of engineering, technology and vocational education. Each article subbmitted to Vocatech will be sent to the editor's section for the Initial Desk Review process. Once the artcile passed initial review it will be sent to peer reviewers for Double-Blind Peer Review Process. Selected papers are publisehd under the Creative Commons Attribution-ShareAlike 4.0 International License. The journal is registered in the CrossReff Digital Object Identifier (DOI), with prefix 10.38038/vocatech through Relawan Jurnal Indonesia Before Submission The author has ensured that the manuscript has been prepared using the Vocatech Template following the author's guidelines and not single author. All the manuscripts are checked for similarity index prior to publication. Any text that does not meet the guidelines, focus and scope of the author, is written in a diff…
publisher: Akademi Komunitas Negeri Aceh Barat
language: en-US
publication name: VOCATECH: Vocational Education and Technology Journal
issn: 2686-4770
copyright: Authors who publish with this journal agree to the following terms: Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-Non Commercial- ShareAlike (CC BY-NC-SA) Authors retain the copyright to their work. Users may read, copy and distribute the work in any form, provided the authors and the journal are appropriately credited or cited. Authors are permitted to also store the published article at other website/database systems. Authors are permitted to distribute the published article to colleagues, post it to open websites - non-commercial, reuse of portions or extracts from the articles in other works. However, authors are not allowed to send their manuscript to other scientific journals once it has been decided to be reviewed by reviewers at Vocatech (Vocational Education and Technology Journal).
items: Implementasi Kurikulum Industri Dengan Pendekatan Competency-Based Training Pada Desain Komunikasi Visual
items: Plastic Waste Chips For Environmentally Friendly Soil Stabilization: Experimental Study On Clay Soil Improvement Using CBR Method
items: Identification of Environmental Impacts in Road Construction Projects
items: Optimalisasi Keamanan Aplikasi Penerimaan Bantuan Dana Pendidikan Pemerintah Daerah (PEMDA) Fakfak Menggunakan WAF
items: Comparative Analysis of Machine Learning and Artificial Intelligence Algorithms for Pharmaceutical Demand Forecasting in Hospital Supply Chains: A Case Study at Hospital X
items: Pengembangan Aplikasi Mobile Learning Konstruksi Jalan dan Jembatan Untuk Optimalisasi Pembelajaran SMK Jurusan Bangunan Kota Surakarta
items: Analisa Kegagalan Elevator Nerak Tipe WB 250 Untuk Mengangkut Sulfur Granulation Di PT. Medco E&P Malaka
items: Analysis of Thermal Efficiency of the Honda GK5 Engine Fueled with Young Coconut Waste Bioethanol Using a Thermodynamic Approach
items: Location Entity Recognition in Instagram Captions Using Support Vector Machine Algorithm
items: Penerapan Metode Analytical Hierarchy Process (AHP) Dalam Menentukan Faktor Dominan Penyebab Keluarga Berisiko Stunting di Kabupaten Aceh Utara
items: Perancangan SPK Rekomendasi Smartphone di Toko Evi Ponsel Dengan Kombinasi AHP dan MFEP
items: Clustering Village Zones Based On Nutritional Status of Toddlers Using The K-Medoids Method
items: Model Pembelajaran Berbasis Pengalaman untuk Penguatan Karakter Anti-Korupsi Mahasiswa Vokasi
items: Optimisasi Desain Heat Exchanger Shell dan Tube Menggunakan Helical Baffles dan Twisted Tape Inserts Sebagai Teknologi untuk Meningkatkan Heat Transfer Coefficient

Implementasi Kurikulum Industri Dengan Pendekatan Competency-Based Training Pada Desain Komunikasi Visual
type: item
description: Abstract The rapid development of technology and the needs of the creative industry require the alignment of vocational school curriculum, specifically in visual communication design, with the demands of the job market. This study aims to analyze the planning, implementation, and challenges of industry-based curriculum using a competency-based training approach in producing competent graduates. This is a qualitative descriptive study using a case study design, with data sources including semi-structured in-depth interviews, participatory observation, and document analysis as data collection techniques. Data analysis techniques include the miles and huberman model, triangulation of sources, and methods for testing data validity. The research subjects consisted of three individuals: the curriculum vice principal, the program head, and the visual communication design teacher, with the school principal serving as the key informant. The research findings implementing an industry-based curriculum using a competency-based training approach involves synchronisation between the school and industry to formulate learning outcomes in the fields of content creation, reprographics, and branding. Learning is conducted using the project-based learning method integrated with field work practice and skill evaluation through competency-based skills testing in collaboration with industry. This implementation successfully enhances students' 21st-century competencies such as collaboration, communication, critical thinking, and creativity. This study emphasizes the importance of improving facilities, teacher training, and collaboration with industry to produce competent and adaptive graduates. Keywords: Competency-based training; Visual communication design; Industry curriculum; Student competency Abstrak Perkembangan teknologi dan kebutuhan industri kreatif yang pesat menuntut penyelarasan kurikulum SMK, khususnya di bidang desain komunikasi visual dengan kebutuhan pasar kerja. Penelitia…
creator: Karina Permatasari
creator: Agus Tinus
creator: Arif Budi Wurianto
rights: Copyright (c) 2025 Karina Permatasari
date: 2025-08-01
publication date: 2025-08-01
volume: 7
number: 1
starting page: 1
ending page: 15
doi: 10.38038/vocatech.v7i1.210

Plastic Waste Chips For Environmentally Friendly Soil Stabilization: Experimental Study On Clay Soil Improvement Using CBR Method
type: item
description: Abstract Clay soils are widely recognized for their poor engineering characteristics, particularly their low bearing capacity and high shrink-swell potential. These limitations make them unsuitable for use as foundation material in road construction and other geotechnical applications. This study aims to evaluate the potential of plastic waste chipping as an additive to improve the geotechnical properties of clay soil. The research was conducted using the California Bearing Ratio (CBR) method to assess bearing capacity. The experimental program involved mixing clay soil—sourced from Blang Pala Village, North Aceh—with varying contents of plastic waste chips (1%, 1.5%, and 2%) and different chip sizes (0.5×0.5 cm, 0.75×0.75 cm, and 1×1 cm). A series of laboratory tests were conducted, including specific gravity, Atterberg limits, standard proctor compaction, and CBR tests in both unsoaked and soaked conditions. The results revealed that the addition of plastic waste chips consistently improved the CBR values, with the most significant enhancement observed at 2% plastic content and 1×1 cm chip size. The unsoaked and soaked CBR values increased from 6.8% to 8.1% and from 3.8% to 5.9%, respectively. These findings suggest that plastic waste chips offers a promising, sustainable construction method for enhancing the performance of clay soils while contributing to plastic waste management. Abstrak Tanah lempung dikenal secara luas karena memiliki sifat-sifat teknik yang kurang baik, terutama daya dukungnya yang rendah dan potensi kembang susut yang tinggi. Keterbatasan ini menjadikan tanah lempung tidak sesuai untuk digunakan sebagai bahan dasar pondasi dalam pembangunan jalan dan aplikasi geoteknik lainnya. Penelitian ini bertujuan untuk mengevaluasi potensi cacahan limbah plastik sebagai bahan tambahan guna meningkatkan sifat geoteknik tanah lempung. Penelitian dilakukan menggunakan metode California Bearing Ratio (CBR) untuk menghitung daya dukung tanah. Penelitian ini…
creator: Andrian Kaifan
creator: Irham Irham
creator: Aiyub Aiyub
creator: Fauzi A. Gani
creator: Munardy Munardy
creator: Ruhana Ruhana
rights: Copyright (c) 2025 Andrian Kaifan, Irham Irham, Aiyub Aiyub, Fauzi A. Gani, Munardy Munardy, Ruhana Ruhana
date: 2025-08-01
publication date: 2025-08-01
volume: 7
number: 1
starting page: 16
ending page: 21
doi: 10.38038/vocatech.v7i1.226

Identification of Environmental Impacts in Road Construction Projects
type: item
description: Abstract Environmental Impact Assessment (EIA) is a crucial activity that must be conducted prior to the development of any project, whether it involves infrastructure, extractive industries, or tourism development. Every infrastructure development should account for potential impacts or effects caused by the activity through monitoring and root cause analysis, ensuring that issues are addressed to prevent the emergence of new problems in the future. The primary purpose of EIA is to protect, reduce, and prevent potential impacts of a project on the environment and society. Potential impacts are analysed by distributing questionnaires and conducting direct interviews with local communities around the project area. The data collected indicates that the perceived impacts include: 58% related to road facilities, 43% traffic flow disturbances, 65% noise pollution, 81% vibrations, 59% air pollution, 54% water pollution, and 15% soil contamination. In conclusion, the most significant effect perceived from the construction of the campus ring road project is noise, with a percentage of 65% Based on the results of the research that has been conducted, it is important to prioritize the analysis of environmental impacts before the implementation of a project in a certain area, so that the effects on the surrounding community can be minimized as much as possible. Keywords: Environmental impact analysis (AMDAL); campus ring road; construction project. Abstrak Analisis Dampak Lingkungan (AMDAL) adalah kegiatan penting yang harus dilakukan sebelum pembangunan sebuah proyek, baik itu proyek infrastruktur, industri ekstraktif, atau pengembangan pariwisata. Setiap pembangunan infrastruktur harusnya perlu memperhitungkan kemungkinan dampak atau efek yang ditimbulkan oleh kegiatan tersebut dengan cara memantau dan mencari akar permasalahan sehingga permasalahan tersebut dapat diselesaikan dan tidak menimbulkan permasalahan baru kemasa yang akan datang. Tujuan utama AMDAL adalah untuk me…
creator: Cut Liliiza Yusra
creator: Hery Wiharja
creator: Santi Septiana Zarita
creator: Kusmira Agustian
creator: Ahmad Zaidi Bin Abdullah
creator: Ferdiansyah Novriza
rights: Copyright (c) 2025 Cut Liliiza Yusra, Hery Wiharja, Santi Septiana Zarita, Kusmira Agustian, Ahmad Zaidi Bin Abdullah, Ferdiansyah Novriza
date: 2025-08-03
publication date: 2025-08-03
volume: 7
number: 1
starting page: 22
ending page: 29
doi: 10.38038/vocatech.v7i1.220

Optimalisasi Keamanan Aplikasi Penerimaan Bantuan Dana Pendidikan Pemerintah Daerah (PEMDA) Fakfak Menggunakan WAF
type: item
description: Abstract The development of human potential is greatly facilitated by education, which enables individuals to enhance their abilities through acquired learning experiences. However, a prominent issue within the Indonesian education system is the considerable cost associated with academic activities. In response to this challenge, the Fakfak Regional Government has implemented a financial assistance program, providing support to 1,500 students pursuing education both within Fakfak Regency and in external locations. Currently, the application and administration procedures for these educational grants are managed manually by the Welfare Department. This conventional approach, encompassing tasks such as the verification, archiving, and validation of documents, is notably time-consuming, primarily due to the large volume of accumulated data. This research has two main objectives: firstly, to simplify the process used by local governments in managing education fund assistance, thereby promoting greater transparency and accountability; secondly, to enhance the security of the online platform against cyber threats. For the website development, a waterfall methodology was adopted, with security enhancements implemented through the utilization of the Damn Vulnerable Web App (DVWA) framework, considering cost-effectiveness and temporal efficiency. The application's resilience was rigorously evaluated through a series of penetration tests. These assessments involved examining the efficacy of the Web Application Firewall (WAF) in both active and inactive conditions, as well as simulating various cyber-attacks, including SQL injection, Cross-Site Scripting (XSS), command injection, and brute-force exploits. The results obtained from this research indicate that the integration of a WAF significantly enhances the application's resilience against cyber attacks. It was observed that vulnerabilities that could be successfully exploited in the absence of an active WAF, such as SQL Inje…
creator: Hasan Basri
creator: Ardhyansyah Mualo
creator: Pieter Andrian
creator: Nur Sakinah
rights: Copyright (c) 2025 Hasan Basri, Ardhyansyah Mualo
date: 2025-08-05
publication date: 2025-08-05
volume: 7
number: 1
starting page: 30
ending page: 40
doi: 10.38038/vocatech.v7i1.206

Comparative Analysis of Machine Learning and Artificial Intelligence Algorithms for Pharmaceutical Demand Forecasting in Hospital Supply Chains: A Case Study at Hospital X
type: item
description: Abstract Healthcare systems in Indonesia face unique challenges due to diverse geographical landscapes and high dependency on pharmaceutical imports, resulting in complex demand forecasting requirements. This study proposes an innovative approach to pharmaceutical demand forecasting by leveraging Machine Learning (ML) and Artificial Intelligence (AI) techniques to optimize hospital supply chains. A comparative evaluation of six forecasting algorithms was conducted using 650 days of pharmaceutical transaction data from Hospital X, encompassing 374,171 dispensing events. The study compared traditional time series methods (Simple Moving Average, Weighted Moving Average, Exponential Smoothing) with advanced ML algorithms (Linear Regression, Support Vector Regression, Deep Learning LSTM). Results demonstrate that the Deep Learning model achieved superior performance with MAPE of 2.35%, representing a 34.4% improvement over traditional methods. The integrated feature engineering architecture successfully captured temporal and seasonal patterns specific to tropical healthcare environments. Implementation of the ML-based forecasting system shows potential for 25-30% reduction in safety stock requirements while maintaining 99.5% service levels, translating to significant cost savings and improved drug availability in Indonesian hospital settings Abstrak Sistem pelayanan kesehatan di Indonesia menghadapi tantangan kompleks yang dipengaruhi oleh kondisi geografis yang beragam serta tingginya ketergantungan terhadap impor produk farmasi. Hal ini berdampak langsung pada kompleksitas dalam proses peramalan permintaan obat di rumah sakit. Penelitian ini mengusulkan pendekatan inovatif dalam peramalan permintaan farmasi dengan memanfaatkan teknik Machine Learning (ML) dan Artificial Intelligence (AI) guna mengoptimalkan rantai pasok rumah sakit. Evaluasi komparatif terhadap enam algoritma peramalan dilakukan menggunakan data transaksi farmasi selama 650 hari dari Rumah Sakit X, yan…
creator: Doni Purnomo
creator: Intan Widuri Sakti
creator: Iyan Gustiana
rights: Copyright (c) 2025 Doni Purnomo
date: 2025-08-08
publication date: 2025-08-08
volume: 7
number: 1
starting page: 41
ending page: 54
doi: 10.38038/vocatech.v7i1.218

Pengembangan Aplikasi Mobile Learning Konstruksi Jalan dan Jembatan Untuk Optimalisasi Pembelajaran SMK Jurusan Bangunan Kota Surakarta
type: item
description: The integration of technology in education, particularly in Vocational High Schools (SMK), is increasingly necessary to support interactive and digital-based learning. This study aims to develop a mobile-based learning media application for the subject of road and bridge construction for students in the building engineering department of SMK. Based on preliminary observations and data, 86% of the 96 respondents stated that conventional teaching methods remain ineffective, and 96% expressed the need for more interactive media. This research uses the Research and Development (R&D) method with the Alessi & Trollip model, consisting of three stages: (1) Planning (needs analysis of students and teachers), (2) Design (development of user interface, curriculum content, and simulation features), and (3) Development (program implementation to produce a product ready for testing). Alpha testing involving media experts, subject matter experts, and practitioners yielded a rating of "Excellent" (score 85–100%). Meanwhile, beta testing with 96 students resulted in a score of 86.10%, indicating that the application is effective in enhancing understanding of the material through 3D simulation features, demonstration videos, and interactive quizzes. In conclusion, the application is suitable for implementation as an interactive learning solution in SMK, especially for technical subjects such as road and bridge construction. The implication is that the development of similar media can serve as a reference for educators in leveraging mobile technology to improve the quality of vocational education.
creator: Fajar Indra Kusuma
creator: Ansheila Rusyda Subiyantari
creator: Imam Fahmi Dian
creator: Izma Fatima
rights: Copyright (c) 2025 Fajar Indra Kusuma
date: 2025-08-04
publication date: 2025-08-04
volume: 7
number: 1
starting page: 55
ending page: 66
doi: 10.38038/vocatech.v7i1.207

Analisa Kegagalan Elevator Nerak Tipe WB 250 Untuk Mengangkut Sulfur Granulation Di PT. Medco E&P Malaka
type: item
description: Abstract PT. Medco E&P Malaka operates one unit of the Nerak WB 250 elevator located in the Sulfur Granulation Unit (SGU), which functions as a material handling system for transferring granulated sulfur from the steel belt conveyor to the sulfur silo. This elevator is driven by an electric motor and gearbox connected to the driver idler shaft (head pulley). The driver idler rotates the rubber chain equipped with buckets containing sulfur granules, allowing the material to be transported vertically to the sulfur silo. However, frequent failures have occurred in several elevator components such as the rubber chain, snap ring, bucket rod, clamping sleeve, chain bushing, bucket, tension idler, as well as the upper and lower idlers. To analyze these failures, the Root Cause Analysis (RCA) method was employed using the Why-Why-Why Analysis (W3A) approach, which is a commonly used method at PT. Medco E&P Malaka. Based on field observations and W3A analysis results, the main causes of failure were identified as misalignment in the elevator system due to worn idler bushings, detached snap rings, and malfunctioning proximity sensors—further aggravated by suboptimal preventive and predictive maintenance activities. Additional contributing factors include clumped sulfur accumulation, which increases the system load. Based on these findings, corrective actions were taken and improvements were made to strengthen both the Predictive Maintenance (PdM) and Preventive Maintenance (PM) programs in order to ensure the reliability of the NERAK WB 250 elevator system at the SGU. Keywords: Elevator Nerak; Sulfur Granulation; Maintenance; Root Cause Analysis (RCA) Abstrak PT. Medco E&P Malaka mempunyai 1 unit mesin elevator Nerak WB 250 yang ada pada Sulfur Granulation Unit (SGU) yang berfungsi sebagai alat pemindah sulfur yang sudah berbentuk granul dari steel belt conveyor menuju sulfur silo. Elevator ini digerakkan menggunakan motor listrik beserta gearbox yang terhubung ke shaft drive…
creator: Hamdani Hamdani
creator: Fakhriza Fakhriza
creator: Hendra Saputra
creator: Samsul Bahri
creator: Edi Saputra
rights: Copyright (c) 2025 Hamdani Hamdani, Fakhriza Fakhriza, Hendra Saputra, Samsul Bahri, Edi Saputra
date: 2025-08-12
publication date: 2025-08-12
volume: 7
number: 1
starting page: 67
ending page: 74
doi: 10.38038/vocatech.v7i1.233

Analysis of Thermal Efficiency of the Honda GK5 Engine Fueled with Young Coconut Waste Bioethanol Using a Thermodynamic Approach
type: item
description: The global energy crisis and increasing awareness of the negative environmental impacts of fossil fuels have driven the development of sustainable alternative energy sources. One promising renewable fuel is bioethanol, especially when produced from agricultural waste such as young coconut waste. This study aims to evaluate the effect of using bioethanol derived from young coconut waste on the thermal efficiency of the Honda GK5 engine through thermodynamic analysis based on the Otto cycle model and verification using experimental data. The research method includes laboratory testing of the Honda GK5 engine with variations in fuel mixtures: E0, E10, E20, and E30. The test results show a significant increase in thermal efficiency up to the E20 mixture, with an experimental efficiency of 31.8% and a theoretical efficiency of 32.0%. This improvement is attributed to the high octane number of bioethanol, which supports more complete combustion. However, at the E30 mixture, a decrease in efficiency is observed due to the lower heating value of bioethanol. The Otto cycle model successfully represents the trend of thermal efficiency with an average deviation of 1–1.5% compared to experimental results. Therefore, bioethanol from young coconut waste proves not only to be environmentally friendly but also capable of enhancing engine energy performance optimally without requiring significant modifications.
creator: Retno Wahyudi
creator: Fauzi Ibrahim
creator: Alexander Sembiring
creator: Agus Apriyanto
creator: Adam Wisnu Murti
creator: Novia Utami Putri
rights: Copyright (c) 2025 Retno Wahyudi, Fauzi Ibrahim, Alexander Sembiring, Agus Apriyanto, Adam Wisnu Murti, Novia Utami Putri
date: 2025-08-12
publication date: 2025-08-12
volume: 7
number: 1
starting page: 75
ending page: 81
doi: 10.38038/vocatech.v7i1.214

Location Entity Recognition in Instagram Captions Using Support Vector Machine Algorithm
type: item
description: Abstract The rapid advancement of digital technology has significantly influenced productivity and facilitated access to information in daily life, particularly through the widespread use of social media. Instagram is one of the most popular platforms, where text in captions often contains location-related information that can be utilized for spatial analysis. This study aims to identify and classify location entities in Instagram captions using Support Vector Machine algorithm combine with rule-based Named Entity Recognition approach. The method involved linguistic feature extraction based on explicit spatial context, data labeling, model training, and performance evaluation using standard classification metrics: accuracy, precision, recall, and f1-score. Dataset consists of 400 captions primarily written in Indonesian, though some contain mixed-language elements such as foreign term or regional dialect. The dataset is divided into 70% training data ad 30% testing data. Experimental results show that model achieved an accuracy of 90,83%, precision of 97,01%, recall of 87,84%, and f1-score of 92,90%. Evaluation of three NER rules (exact match keyword, prepositional patterns, and descriptive structures) indicates that the combination of all rules yields the highest f1-score (89%), while the best-performing individual rule is the prepositioning pattern (74%). These results demonstrated strong performance in processing varied and unstructured Instagram captions. The combinations of SVM and NER rule-based prove effective in identifying and classifying spatial information into two classes Contains Location and No Location. This approach shows potential for implementation in text-based spatial analysis systems, such as location-based recommendation systems, geographic mapping, and location-based decision support systems. Abstrak Perkembangan teknologi digital yang pesat secara signifikan berpengaruh meningkatkan produktivitas dan kemudahan akses informasi dalam kehidupan …
creator: Cut Hilma Arifa
creator: Rizal Tjut Adek
creator: Yesy Afrillia
rights: Copyright (c) 2025 Cut Hilma Arifa
date: 2025-08-13
publication date: 2025-08-13
volume: 7
number: 1
starting page: 82
ending page: 99
doi: 10.38038/vocatech.v7i1.238

Penerapan Metode Analytical Hierarchy Process (AHP) Dalam Menentukan Faktor Dominan Penyebab Keluarga Berisiko Stunting di Kabupaten Aceh Utara
type: item
description: Abstract In an effort to address the risk of stunting in families in the Dewantara District, this study aims to design and implement a decision support system using the Analytical Hierarchy Process (AHP) method to provide information related to the highest factors causing families at risk of stunting in the Dewantara District. The data used in this study consisted of 250 data on families at risk of stunting in the Dewantara District for the period of 2023. The data was then normalized and processed through a web-based system developed using the Python programming language and SQLite database. The use of Python as a programming language, and SQLite as a database, created an effective and efficient system for processing data, as well as supporting the analysis required in this study. The results of the analysis showed that the number of children was the dominant factor causing families at risk of stunting in the Dewantara District with a value of (26.244), then followed by maternal age (15.015), latrine factor (14.102), welfare ranking factor (12.455), drinking water source factor (2.893), and birth spacing factor (0.525). This study concludes that the Analytical Hierarchy Process (AHP) method is effective in identifying the highest risk factors for families at risk of stunting based on data on families at risk of stunting and producing a clear ranking. The results are expected to serve as a reference in formulating policies and planning more targeted intervention programs, thereby supporting early prevention efforts and a sustainable reduction in stunting prevalence. Keywords: Decision Support System, Families at Risk of Stunting, AHP, Dewantara District, Python Abstrak Dalam upaya penanganan risiko stunting pada keluarga di wilayah Kecamatan Dewantara, penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pendukung keputusan menggunakan metode Analitycal Hierarchy Process (AHP) untuk memberikan informasi terkait faktor tertinggi penyebab keluarga b…
creator: Elviza Zuhra
creator: Fadlisyah Fadlisyah
rights: Copyright (c) 2025 Elviza Zuhra
date: 2025-08-18
publication date: 2025-08-18
volume: 7
number: 1
starting page: 100
ending page: 114
doi: 10.38038/vocatech.v7i1.234

Perancangan SPK Rekomendasi Smartphone di Toko Evi Ponsel Dengan Kombinasi AHP dan MFEP
type: item
description: Abstract The rapid advancement of technology has led to an increase in smartphone demand, but the wide variety of specifications and prices makes it difficult for consumers to make the right choice. This study aims to design a Decision Support System (DSS) that provides optimal smartphone recommendations for customers at Evi Ponsel Store. The system was developed using a combination of the Analytical Hierarchy Process (AHP) and the Multi Factor Evaluation Process (MFEP). AHP was used to determine the weight of each criterion, while MFEP was used to evaluate and rank smartphone alternatives. The criteria considered include price, RAM, internal memory, camera, battery, screen size, and OS version. The results show that price is the most influential factor, indicating that customers prioritize affordability. Based on MFEP results, the most recommended smartphone is Redmi 14C, followed by Redmi 13C and Infinix Hot 50. The system effectively provides efficient, objective, and user-aligned recommendations. Abstrak Perkembangan teknologi yang pesat telah mendorong peningkatan permintaan terhadap smartphone, namun beragamnya spesifikasi dan harga membuat konsumen kesulitan dalam menentukan pilihan. Penelitian ini bertujuan untuk merancang sistem pendukung keputusan (SPK) yang dapat memberikan rekomendasi smartphone terbaik kepada konsumen di Toko Evi Ponsel. Sistem dirancang menggunakan kombinasi metode Analytical Hierarchy Process (AHP) dan Multi Factor Evaluation Process (MFEP). AHP digunakan untuk menentukan bobot masing-masing kriteria, sementara MFEP digunakan untuk mengevaluasi dan menentukan peringkat alternatif smartphone. Kriteria yang digunakan meliputi harga, RAM, memori internal, kamera, baterai, ukuran layar, dan versi OS. Data diperoleh melalui observasi dan wawancara langsung dengan pihak toko untuk memastikan bahwa kriteria dan alternatif yang dipilih relevan dengan kebutuhan pasar. Hasil penelitian menunjukkan bahwa kriteria harga memiliki bobot tertinggi, …
creator: Daryanti Daryanti
creator: Riki Andri Yusda
creator: Zulkarnain Sirait
rights: Copyright (c) 2025 Daryanti Daryanti, Riki Andri Yusda, Zulkarnain Sirait
date: 2025-08-13
publication date: 2025-08-13
volume: 7
number: 1
starting page: 115
ending page: 129
doi: 10.38038/vocatech.v7i1.230

Clustering Village Zones Based On Nutritional Status of Toddlers Using The K-Medoids Method
type: item
description: Abstract In order to improve the effectiveness of nutrition intervention planning in the operational area of the Kuta Blang Health Center, this study aims to develop a village zoning model based on the nutritional status of toddlers using the K-Medoids algorithm. The primary data includes the distribution of nutritional statuses (good, overnutrition, undernutrition, severe malnutrition, obesity) from 41 villages collected during the January–December 2023 period. Data were normalized and processed using a web-based system developed in PHP and MySQL. The clustering process resulted in five zones: Green (optimal nutrition), Yellow (within acceptable limits), Orange (requires monitoring), Red (worst condition), and Purple (critical challenges). Field validation showed strong alignment between clustering results and real conditions. This study concludes that the K-Medoids method can accurately group villages based on nutrition data and produce a practical zoning map. The resulting zones allow for more efficient resource allocation and targeted intervention, especially in Red and Purple zones. Future improvements may include incorporating socioeconomic and healthcare access variables for more comprehensive analysis. Abstrak Dalam rangka meningkatkan efektivitas perencanaan intervensi gizi di wilayah kerja Puskesmas Kuta Blang, penelitian ini bertujuan untuk mengembangkan model zonasi desa berdasarkan status gizi balita menggunakan algoritma K-Medoids. Data primer meliputi distribusi status gizi balita (gizi baik, gizi lebih, gizi kurang, gizi buruk, obesitas) dari 41 desa yang dikumpulkan selama periode Januari–Desember 2023. Data tersebut dinormalisasi dan diolah dalam sistem berbasis web menggunakan bahasa pemrograman PHP dan database MySQL. Proses klasterisasi menghasilkan lima zona: Hijau (gizi optimal), Kuning (masih dalam batas wajar), Oranye (perlu pemantauan), Merah (terburuk), dan Ungu (tantangan signifikan). Validasi lapangan menunjukkan kesesuaian tinggi antara…
creator: Ulva Amelia
creator: Zara Yunizar
creator: Lidya Rosnita
rights: Copyright (c) 2025 Ulva Amelia
date: 2025-08-14
publication date: 2025-08-14
volume: 7
number: 1
starting page: 130
ending page: 144
doi: 10.38038/vocatech.v7i1.223

Model Pembelajaran Berbasis Pengalaman untuk Penguatan Karakter Anti-Korupsi Mahasiswa Vokasi
type: item
description: Abstract[1] Vocational higher education in Indonesia bears a strategic responsibility to produce graduates with technical competence and integrity. This research aims to develop an experiential learning model in citizenship education to strengthen anti-corruption character among students at the State Community Academy of West Aceh and to analyze its implementation challenges. A qualitative approach with case study design was applied through triangulation of data collection techniques including in-depth interviews, participatory observation, documentation study, and focused group discussions with one lecturer, twenty students, and three stakeholders. The findings reveal that the learning model integrating four theoretical frameworks (experiential learning, moral character education, situational learning, and local wisdom) effectively strengthened students' anti-corruption character. The model was implemented through three systematic phases (awareness, internalization, application) which resulted in transformation across four character dimensions: cognitive, affective, behavioral, and spiritual-cultural. The integration of Acehnese local wisdom values (trustworthiness, justice, honesty, purity, patience) provided cultural resonance that strengthened the internalization of anti-corruption values. Implementation challenges encompassed structural-institutional, pedagogical, and contextual aspects which were addressed through lecturer competency development strategies, learning time optimization, and contextualization of simulations according to study programs. Keywords:[2] experiential learning; local wisdom; anti-corruption education; vocational education; experience-based learning Abstrak[3] .Pendidikan tinggi vokasi di Indonesia memiliki tanggung jawab strategis dalam menghasilkan lulusan dengan kompetensi teknis dan karakter berintegritas. Penelitian ini bertujuan mengembangkan model pembelajaran berbasis pengalaman dalam pendidikan kewarganegaraan untuk memperkuat k…
creator: Riza Hasan,
creator: Fitrayansyah Fitrayansyah
rights: Copyright (c) 2025 Riza Hasan,
date: 2025-08-27
publication date: 2025-08-27
volume: 7
number: 1
starting page: 145
ending page: 163
doi: 10.38038/vocatech.v7i1.224

Optimisasi Desain Heat Exchanger Shell dan Tube Menggunakan Helical Baffles dan Twisted Tape Inserts Sebagai Teknologi untuk Meningkatkan Heat Transfer Coefficient
type: item
description: Abstract Heat exchanger is a device used to transfer thermal energy between two or more fluids at different temperatures. This study aims to develop an efficient shell and tube heat exchanger design that is accompanied by an increase in the overall heat transfer coefficient on the shell and tube sides simultaneously. This study focuses on the impact of using helical baffles and twisted tape inserts technology on the total heat transfer coefficient (U) and pressure drop (ΔP). This study analyzes the effect of employing helical baffles on the shell side and twisted tape inserts on the tube side, with optimization using the Genetic Algorithm (GA) method. The independent variables considered include the helical baffles angle (β), the spacing between baffles (Lbc), the thickness of the twisted tape (δ), and the half-pitch of the twisted tape (H). The optimization objective function for both the shell side and tube side is to maximize the overall heat transfer coefficient, while the restriction is that the pressure drop must not surpass the starting design data value. In this study, the E-1-06 heat exchanger was successfully modeled. The modeling data showed only slight differences between the modeling results and the initial data sheet. The deviation value of the overrall heat transfer coefficient (U) = 0.06%, ∆Ps = 0.00%, and ∆Pt = 0.06%. Optimization of the E-1-06 heat exchanger was also successful. Optimization in this study was able to increase the U value by 3.97%, while the ∆Ps value decreased by -2.01% and ∆Pt by -19.11%. The findings indicate that the modified design is capable of enhancing thermal performance without compromising hydraulic efficiency, thereby demonstrating its potential for application in energy processing systems and industrial cooling. Abstrak Heat exchanger adalah perangkat yang digunakan untuk menyalurkan energi termal antara dua atau lebih fluida pada suhu yang berbeda-beda. Penelitian ini bertujuan untuk mengembangkan desain heat exchanger…
creator: Ahmad Syafi'i
creator: Muhammad Jaka WimbangWicaksono
creator: Aditya Gautama Darmoyono
creator: Eka Mutia Lubis
creator: Dessy Oktani
creator: Kamarudin Kamarudin
creator: Rahmi Mahdaliza
creator: Mu'thiana Gusnam
creator: Totok Ruki Biyanto
creator: Intan Tri Utami
rights: Copyright (c) 2025 Ahmad Syafi'i
date: 2025-08-24
publication date: 2025-08-24
volume: 7
number: 1
starting page: 164
ending page: 178
doi: 10.38038/vocatech.v7i1.217