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Buletin Poltanesa
Published by Politeknik Pertanian Negeri Samarinda
ISSN : 14120097     EISSN : 26148374     DOI : 10.51967/tanesa.v21i2.326
Core Subject : Science, Education, Agriculture,
Agriculture, Biological Sciences & Forestry Computer Science & IT Education
Buletin Poltanesa is a collection of research articles, scientific works, and dedication from all academic community in order to integrate information. Buletin Poltanesa provides open publication services for all members of the public, both in all tertiary educational and teacher environments and other research institutions, with the freedom to exchange information that is dedicated to facilitating collaboration between researchers, writers and readers through information exchange. Buletin Poltanesa was introduced and developed in Research Department of Politeknik Pertanian Negeri Samarinda Buletin Poltanesa is published periodically twice a year, in June and December, this bulletin contains the results of research activities, discoveries and ideas in the field all multidisciplinary sciences. Hopefully with the articles in cultivation researchers can share knowledge in order to advance Indonesia, especially East and North Borneo.
Arjuna Subject : Umum - Umum
Articles 555 Documents
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Integration of Green Economy, Biochar-Agroecology, and GreenSCOR for Sustainable Food and Feed Security in Karang Taruna Gempur Samarinda Ida Rosanti; Purbawati; Sri Endayani
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3534

Abstract

This program integrates the Green Economy model, Biochar Agroecology, and the GreenSCOR framework to strengthen sustainable food and feed security in Karang Taruna Gempur Samarinda. The activity aims to improve youth capacity in managing local resources through the application of biochar from biomass waste, agroecological practices, and environmentally oriented supply chain management. Implementation methods included socialization, technical training, and participatory mentoring. The results show a 35% increase in production efficiency, a 40% reduction in organic waste, and improvements in water quality and fish productivity. In addition, a youth led green economic enterprise was formed to enhance local economic independence. These findings indicate that the integration of technological innovation and community empowerment effectively supports sustainable food and feed security while promoting an inclusive green economy at the community level.
The Relationship Between Social Status and Stunting Incidence at the Biru Community Health Center in Bone Regency in 2025 Febrianti; Yusriani; Sumiaty; Andi Asrina; Fairus Prihatin Idris; Muh. Khidri Alwi
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3538

Abstract

Stunting remains a major public health challenge in Indonesia, particularly in rural areas such as Bone Regency. It reflects chronic malnutrition that affects physical growth, cognitive development, and long-term productivity. This study aimed to analyze the relationship between social status and stunting incidence in the working area of the Biru Community Health Center, Bone Regency, in 2025. The research was conducted using an analytical observational design with a cross-sectional approach. The study population consisted of 1,588 toddlers aged 24–59 months, with a sample of 107 respondents selected using the Lemeshow formula. Data were collected through structured interviews using validated questionnaires and secondary data from the health center and the district health office. Data analysis employed the Chi-square test and logistic regression to determine significant associations and dominant influencing factors. The results revealed a significant relationship between social status and stunting incidence (p = 0.030). Children from families with low social status had a higher risk of stunting (60.9%) compared to those from families with higher social status (35.7%). These findings indicate that educational level, parental occupation, and social participation are key social determinants influencing child nutritional status. The study emphasizes the need to strengthen community-based health interventions, including nutrition education, maternal empowerment, and active participation in posyandu activities, to reduce stunting prevalence. Strengthening collaboration among health workers, local government, and community leaders is essential to improve family health literacy and ensure sustainable stunting prevention in the Bone Regency area.
The Role of Artificial Intelligence Competencies and Organizational Support in Predicting Government Employee Performance: A Bibliometric and Systematic Review Afzil Ramadian; Ismartaya; Revaliana Putri; Syakhira Fadla; Esih Nurasiah Zamil
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3539

Abstract

This study focuses on AI competencies and organizational support in human resource management and information technology. It aims to help the government with policies for AI development and employee performance. Literature review analysis is the method used, collecting data from the Scopus database. Bibliometric and Dimension software helped analyze various indicators, like authors, articles, citations, institutions, and countries. The search found 53,672 documents from 2016 to 2025, including 27,057 chapters, 13,206 edited books, 6,175 articles, 5,029 monographs, 1,677 proceedings, and 528 preprints. With a focus on exploring AI skills and support in human resource management to help improve policies and employee performance. The study analyzes the impact of artificial intelligence on government employee performance, highlighting key authors and sources, emphasizing the importance of experience, and suggesting policy improvements for enhanced skills and competitiveness.
Vocademy: A Mobile Learning Application to Enhance Vocational Students’ Critical Reading Skills in English for Engineering Santi Kusuma Dewi; Mustaji; Andi Mariono
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3546

Abstract

This study aimed to develop and evaluate Vocational English Academy (Vocademy), a specialized mobile learning application designed to significantly enhance the critical reading skills of vocational students in the context of English for Engineering at SMKN 1 Nganjuk. We employed the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation) coupled with a mixed-method approach, integrating a quasi-experimental one-group pretest-posttest design with descriptive qualitative analysis. The research participants comprised 72 tenth-grade students, evenly selected from the Geomatics and Mechanical Engineering programs based on their needs and accessibility. Data collection relied on comprehensive instruments, including expert validation sheets, a robust critical reading assessment (pre-test and post-test), and a student feedback survey. The development phase confirmed Vocademy’s quality; expert validation results showed exceptionally high validity and feasibility, boasting an average score of 89%. Following the intervention, quantitative analysis using a paired-sample t-test revealed a statistically significant improvement in students' critical reading skills (p < 0.05). The magnitude of this improvement was quantified by an N-Gain value of 0.464 (Medium Category), indicating strong instructional effectiveness. In conclusion, Vocademy has successfully proven its capability to elevate vocational English language education by effectively fostering high-level critical analysis and contextual comprehension of intricate technical documents. This positions the application as a highly relevant and innovative digital platform, essential for preparing graduates to meet the complex literacy demands of the Industry 5.0 era.
Strengthening Organizational and Digital Marketing in Sedau Tourism Village Dodi Wirawan Irawanto; Dian Ari Nugroho; Yosabah Zahro
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3547

Abstract

This community service program aimed to strengthen the institutional capacity of the Tourism Awareness Group and enhance product competitiveness among coffee micro, small, and medium enterprises (MSMEs) in Sedau Tourism Village, West Lombok. Recognizing the interconnected challenges of weak organizational structure and unbranded, low-visibility products, the program implemented a participatory action research (PAR) based intervention that integrated organizational development with hands-on technical mentoring. Over two intensive days in June 2025, 8 Tourism Awareness Group members and 9 coffee MSME owners co-created tangible outputs through facilitated workshops and practical sessions. These included a collectively agreed vision-mission document, end-to-end coffee production standard operating procedures (SOPs), and culturally grounded packaging designs incorporating Sasak heritage motifs. A unified brand identity emerged from collaborative discussions, crystallized in the slogan “Kopi Sedau Jadi Tau” (“Once You Try Sedau Coffee, You’ll Know”). During digital marketing training, participants actively created or updated WhatsApp Business and Instagram profiles. Importantly, the packaging designs were printed and immediately adopted for commercial use, demonstrating early-stage implementation. Consistent with PAR principles, success is defined not by individual competency gains due to the absence of pre-post assessments but by the co-creation, local ownership, and immediate application of contextually relevant solutions. This integrated model offers a replicable framework for tourism village development that balances institutional strengthening with product-level innovation, laying a practical foundation for future competitiveness in regional and national markets.
Integrated TR-069 and MikroTik Automation for ISP Network Provisioning: A Case Study of PT Mahakam Indo Nusa Asep Nurhuda; Muslimin B; Bagus Satria; Reza Jakaria Rahmanto; Eny Maria
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

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

Abstract

PT Mahakam Indo Nusa is a new internet service provider facing challenges in managing Customer Premises Equipment (CPE) and PPPoE-based network authentication on MikroTik Routers. The existing manual process slows down service and is prone to configuration errors. This research develops a Laravel-Vue based Posmacs application that integrates GenieACS (a TR-069 implementation) with the MikroTik API. The objective of the research is to automate the provisioning process, CPE configuration, and device status monitoring. The research uses the Design Science Research (DSR) approach with six stages: problem identification, solution objective, design and development, demonstration, evaluation, and communication. The implementation results show that the Posmacs application is capable of retrieving data for thousands of devices from GenieACS with a pagination system, automatically connecting new customers with MikroTik PPPoE accounts, and displaying online/offline device status via a dashboard. This application enhances the operational efficiency of PT Mahakam Indo Nusa as a new ISP.
Implementation of Extracurricular Management in Optimizing the Non-Academic Potential of Elementary School Students Afriska Hernaning Tiyas; Erny Roesminingsih; Mohammad Syahidul Haq
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3553

Abstract

Optimizing the non-academic potential of elementary school students is an important aspect that deserves attention in the field of education, in line with efforts to develop human resources toward Indonesia Emas 2045. Through extracurricular activities, schools provide opportunities for students to express and develop their potential, particularly in non-academic areas. This study aims to examine the implementation of extracurricular activity management in efforts to optimize the non-academic potential of elementary school students. The research uses a qualitative approach with a multi-site case study design conducted at SDN Kauman 1 and SDN Ngrowo 2 Bojonegoro District. Data collection techniques include in-depth interviews, observation, and document analysis. Data analysis in this study employs the Miles and Huberman model, which involves two stages: single-site data analysis and cross-site analysis. The study results demonstrate that proper managerial practices and the systematic application of the four management functions—planning, organizing, implementation, and evaluation yield significant success in developing and optimizing elementary students' non-academic potential.
Smart Learning Path Recommendation with Gamification Elements for Learning App Ahmad Fahrijal Pukeng; Presa Taruna Oliver; Katarina Roswita Jehadun
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3554

Abstract

This research presents a smart learning path recommendation system using Content-Based Filtering algorithm integrated with gamification elements to personalize Indonesian spelling learning for increased student motivation and learning outcomes. Indonesian spelling proficiency remains a significant challenge in higher education, often due to lack of motivation and absence of adaptive learning approaches. While gamification has been shown effective in increasing engagement and personalized learning in improving outcomes, the integration of both approaches with adaptive learning path recommendations remains underexplored in the context of Indonesian language learning. This study proposes an intelligent system that utilizes diagnostic pre-test data to group students into four distinct learner profiles based on their specific spelling weaknesses (e.g., capitalization, punctuation, compound words, abbreviations). The system implements Content-Based Filtering algorithm to dynamically recommend customized learning modules sequenced according to each student's proficiency level. The system was evaluated with 92 participants in a pre-test/post-test design with paired samples t-test analysis. Results demonstrated statistically significant improvement in spelling comprehension (Mean_pre-test = 81.7%, Mean_post-test = 94.6%, t-value (91) = 16.53, p-value < 0.001, Cohen's d = 1.72), indicating an average gain of 12.9 percentage points. Additionally, motivation assessment using the ARCS model (Attention, Relevance, Confidence, Satisfaction) revealed significant increases across all motivation components (Attention: +31.4%, Relevance: +26.3%, Confidence: +40.6%, Satisfaction: +36.1%), confirming that the integrated approach successfully enhanced both learning outcomes and intrinsic motivation. This research contributes to the field by demonstrating the effectiveness of combining algorithm-driven personalization with gamification in language learning contexts.
Design of a Web-Based Management Application for Jamu Bu Tri Shop with Sales Analysis Features Daru Caraka; Heny Pratiwi; Vilianty Rafida
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3555

Abstract

Digital transformation that comes from information technology has been the main game changer for businesses of all sectors. Even the least expected ones, like micro, small and medium enterprises that are MSMEs like herbal medicine shops in Indonesia, have been impacted. Jamu Bu Tri Shop is using a manual management system which leads to problems such as inaccurate data recording, lack of real-time product tracking, slow transaction processes, and difficult financial reporting. This study is about a web-based store management application with sales analysis features through the use of the Rapid Application Development methodology. Observation, interview of the owner and employees of the shop and documentation were the data collection methods. The system design was done through the Unified Modeling Language diagrams like Use Case Diagrams, Activity Diagrams, and Class Diagrams. This application can automate product management, sales transactions, category and supplier management, expense recording, and integrated report generation. The main novelty is an analytical dashboard that provides the interaction of data visualization through the line chart, bar graph, and donut chart. Black Box testing checked all system functions with 100% accuracy in eight main modules and the System Usability Scale evaluation gave a score of 91.67 with Grade A. The implementation results showed that there were considerable improvements in the operation: transaction recording time was reduced by 90%, monthly report preparation was enhanced by 98%, product stock checking was improved by 94%, and best-selling product identification was sped up by 99.7%.
Comparison Analysis of K-Nearest Neighbor and Naïve Bayes Methods in Classifying Academic Reference Books Chandra Panca Wibawa; Heny Pratiwi; Andi Yusika Rangan
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3556

Abstract

This study compares the performance of the K-Nearest Neighbor (KNN) and Multinomial Naïve Bayes (MNB) algorithms in classifying academic reference books based on their titles within the STMIK Widya Cipta Dharma library system. A dataset consisting of 2,153 cleaned book records was processed using the Knowledge Discovery in Databases (KDD) framework, including data selection, preprocessing, transformation, and classification. Book titles were normalized and transformed into numerical features using TF-IDF with unigram and bigram extraction. The dataset was split using a 75%–25% ratio, resulting in 1,614 training samples and 539 testing samples. Experimental results show that the KNN classifier achieves an accuracy of 72.72%, outperforming Multinomial Naïve Bayes with an accuracy of 62.70%. Confusion matrix analysis shows that KNN correctly classifies more book titles across categories. The superior performance of KNN is attributed to the sparse and short-text nature of book titles, which benefits distance-based similarity. These findings highlight the potential of machine-learning-based automated classification to improve cataloging and information retrieval in academic libraries.

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