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Jurnal Studi Multidisiplin Ilmu
Published by Goodwood Publishing
ISSN : -     EISSN : 30267412     DOI : https://doi.org/10.35912/jasmi
Core Subject : Economy, Science, Education, Social,
Computer Science & IT Economics, Econometrics & Finance Education Social Sciences Other
Jurnal Studi Multidisiplin Ilmu (JASMI) is a peer-reviewed scientific journal that publishes articles covering a wide range of disciplines, including economics, business, education, humanities, social sciences, and technology. The journal aims to serve as a platform for academics, researchers, and practitioners to exchange ideas, disseminate research findings, and foster interdisciplinary discussions in addressing real-life problems and advancing multidisciplinary knowledge, particularly within the Indonesian context. JASMI seeks to contribute to the development of multidisciplinary knowledge and supports scholarly work that fosters innovation and collaboration among researchers from different fields. The journal welcomes original research, theoretical studies, and applied research that explore complex issues in society, economics, and technology, among others. By encouraging high-quality contributions from scholars worldwide, JASMI strives to promote ethical research and knowledge sharing, contributing to both local and global advancement.
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Articles 52 Documents
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Smartphone Selection Decision Support System for Online Motorcycle Taxi Drivers Using the SMART Method Muhammad Annash Ash Shidiq
Jurnal Studi Multidisiplin Ilmu Vol 3 No 1 (2025): Januari
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jasmi.v3i1.6917

Abstract

Purpose: Online motorcycle taxi (ojek online) drivers in Indonesia require smartphones that support intensive all-day outdoor use, including strong battery life, performance, screen visibility, and network stability. This study aims to develop a web-based Decision Support System (DSS) using the SMART (Simple Multi Attribute Rating Technique) method to recommend the most suitable smartphone based on occupation-specific criteria.Methodology: A design and development research approach was used. Ten criteria were identified through observation and interviews, including price, battery capacity, processor, storage, RAM, screen brightness, network technology, display size, and camera quality. Four Oppo smartphones (A12, A16K, A52, and F11) were evaluated. Criteria weights were assigned based on driver priorities, then normalized. Utility values were calculated using the SMART formula, and final scores were obtained from weighted utility aggregation.Results: The SMART analysis ranked Oppo F11 first (Nta = 70.5), followed by Oppo A52 (59.2), Oppo A12 (45.8), and Oppo A16K (37.9). The F11 achieved the highest score due to its balanced affordability, strong chipset performance, large storage, and adequate RAM capacity.Conclusions: The SMART-based DSS effectively supports smartphone selection for ojek online drivers by integrating multicriteria decision-making into a structured system. The model demonstrates reliable ranking results for the evaluated alternatives.Limitations: The study is limited to four Oppo models and relies on expert-based weighting, which may not fully represent broader driver preferences.Contributions: This study provides a replicable SMART-based DSS framework for occupational smartphone selection in the gig economy, particularly for improving decision accuracy in driver-oriented technology recommendations.
Web-Based Decision Support System for Prosperous Family Classification Using the Analytical Hierarchy Process Andino Maseleno; Adi Prasetia Nanda; Rara Marselina Jupon; Eka Fitriana
Jurnal Studi Multidisiplin Ilmu Vol 3 No 1 (2025): Januari
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jasmi.v3i1.6933

Abstract

Purpose: This study designs and implements a web-based Decision Support System (DSS) for classifying prosperous families in Dusun Cibanban, Desa Gerning, Tegineneng District, Pesawaran Regency, Indonesia, applying the Analytical Hierarchy Process (AHP). The work addresses the inefficiency and subjectivity of manual welfare assessment routines used by local administrators.Methodology: A design science research approach guided development, following the waterfall model through requirements analysis, design, implementation, testing, and deployment. AHP derived priority weights from pairwise comparisons among welfare criteria adapted from national family welfare standards, implemented using Personal Home Page (PHP) with CodeIgniter, JavaScript, and MySQL.Results: The system computed AHP priority weights for every household head across six welfare criteria and produced a ranked classification for 102 households. Black-box testing confirmed all primary modules operated without defects. The household head Marsidi obtained the highest composite score, 0.1736, with a criteria consistency ratio of 0.071, within Saaty's acceptable threshold.Conclusions: The system replaces a slow, subjective manual procedure with a faster, more transparent classification mechanism accessible through an ordinary browser.Limitations: The evaluation was confined to a single sub-village with 102 household heads, criteria weights rested on expert elicitation rather than empirical validation, and concurrency performance under production loads was not assessed. Contributions: The study offers a documented, replicable community-level AHP-DSS implementation that local administrators elsewhere in Indonesia can adapt for data-driven welfare targeting.
Effects of Work Ability and Motivation on Employee Productivity in North Jakarta Manufacturing Firm Study Ade Solihin; Sabil Sabil
Jurnal Studi Multidisiplin Ilmu Vol 3 No 1 (2025): Januari
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jasmi.v3i1.6935

Abstract

Purpose: This study examines how work ability and work motivation shape employee work productivity at PT Gautama Indah Perkasa, a manufacturing firm in North Jakarta, Indonesia, a setting where fluctuating output has pushed management to look for evidence-based grounds for its human resource decisions. Methodology: A quantitative, descriptive survey was conducted among the firm's 50 permanent employees. A saturated sampling approach produced 36 usable responses. Work ability, work motivation, and work productivity were each measured with Likert-scaled instruments whose validity and reliability were confirmed through corrected item-total correlation and Cronbach's Alpha, after which classical assumption tests preceded a multiple linear regression run in SPSS 23.Results: All twenty-three items were valid and every construct was reliable. The fitted equation, Y = 6.128 + 0.287X1 + 0.343X2, shows that work ability carries a significant partial effect (B = 0.287, t = 2.971, p = .006) while work motivation's partial effect, though positive, falls short of significance (B = 0.343, t = 1.680, p = .102). Jointly, the two predictors explain 40.4 percent of productivity variance and are simultaneously significant (F = 11.175, p = .000). Conclusions: Work ability stands out as the dependable, individually significant driver of productivity in this factory, whereas motivation contributes mainly through its combined effect with ability.Limitations: A single-firm, cross-sectional design with only 36 respondents restricts generalizability and causal claims. Contributions: The study offers Indonesian manufacturing HR practitioners a concrete basis for prioritizing competency-building investment over purely motivational programs.
K-Nearest Neighbors Based Matic Motorcycle Damage Prediction System Web Application Preventive Maintenance Bengkel Sahabat Motor Anggi Wijaya; Sulyono Sulyono
Jurnal Studi Multidisiplin Ilmu Vol 3 No 1 (2025): Januari
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jasmi.v3i1.6937

Abstract

Purpose: This study develops a web-based matic motorcycle damage prediction system using the K-Nearest Neighbors (KNN) algorithm at Bengkel Sahabat Motor to support early damage detection, preventive maintenance, and cost reduction. Methodology: A quantitative approach with waterfall System Development Life Cycle (SDLC) was used. Data were collected through observation, interviews, and workshop records. The system was built using Personal Home Page (PHP), html, Cascading Style Sheets (CSS), JavaScript, and MySQL. KNN with Euclidean distance and K=3 was applied, using a three-level symptom scale. System design used Unified Modeling Language (UML) and validation was conducted through black box testing. Results: The system accurately classifies motorcycle damage, with test outputs correctly identifying "Engine Overheating" based on nearest neighbor distances. Black box testing achieved 100% acceptance across 143 test items, categorized as “Very Good.” Diagnosis time decreased from 30 to 10 minutes per case. Conclusions: The KNN-based system effectively automates motorcycle damage classification and improves diagnostic efficiency. Limitations: The study is limited to a single workshop, small dataset, no IoT integration, and lacks formal accuracy metrics. Contributions: This study provides a practical machine learningbased predictive maintenance system for motorcycle workshops, offering a replicable framework for digital diagnostics in the automotive service sector.
Knowledge Socialization and COVID-19 Prevention Among Senior Secondary School Students in Mesuji Regency Vikto Agus Wibowo; Happy Komikesari
Jurnal Studi Multidisiplin Ilmu Vol 3 No 1 (2025): Januari
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jasmi.v3i1.6949

Abstract

Purpose: This study examines the design, implementation, and outcomes of a COVID-19 knowledge socialization program conducted by a university community service team at a senior secondary school in a green-zone area, focusing on its impact on student health protocol adherence and awareness of traditional herbal immune-support practices. Methodology: A qualitative service-learning evaluation design was applied. A single two-hour socialization session was delivered to thirty students at SMAN 2 Way Serdang, Mesuji Regency, on 23 July 2020, covering viral biology, external prevention measures, and empon-empon herbal immune support. A structured Google Form questionnaire capturing pre- and postsession health protocol compliance was completed by fifteen respondents. Results: Before the intervention, 80% reported compliance and 20% occasional adherence. After the session, 33% increased compliance, 47% remained unchanged, one became consistent, and two improved slightly. Conclusions: A single in-person socialization session combining biomedical and herbal health education can improve health protocol adherence and knowledge among adolescents in green-zone schools. Limitations: The study is limited by a small self-selected sample, one session, self-reported data, and no control group, limiting generalizability and causal inference. Contributions: This study presents a low-resource, replicable model for adolescent pandemic risk communication integrating biomedical and traditional health knowledge.
Door-to-Door COVID-19 Health Socialization and Herbal Immune Support in a Rural Village Vikto Agus Wibowo; Happy Komikesari
Jurnal Studi Multidisiplin Ilmu Vol 3 No 2 (2025): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jasmi.v3i2.6954

Abstract

Purpose: This study documents and evaluates a door-to-door community health socialization program on coronavirus disease 2019 knowledge and prevention delivered to households in Hadi Mulyo Village, Way Serdang Subdistrict, Mesuji Regency, with particular attention to elderly residents and the introduction of a locally prepared herbal immune support preparation. Methodology: A qualitative service learning design combined direct household visits organized across four residential blocks over a two-week period with structured observation, attendance registration, and informal interview data collected during each visit. Results: Thirty households across four blocks received individualized in home education covering virus biology, transmission, and prevention, after which residents demonstrated improved recognition of correct mask use, installed household handwashing stations where these had lapsed, and reported new awareness of ginger turmeric herbal preparations as a complementary immune-supportive practice. Conclusions: Household level, door to door health socialization is a feasible and well-received strategy for reinforcing pandemic preventive behavior in a rural village setting, particularly for elderly residents who are otherwise difficult to reach through group-based outreach during periods of restricted gathering. Limitations: The evaluation relied on a small, non-randomly selected number of households, a single outreach period, and qualitative observation rather than a validated quantitative instrument or comparison group. Contributions: This study contributes a replicable household level outreach model combining biomedical prevention and local herbal practices, offering guidance for community service programs targeting elderly and hard-to-reach populations in rural outbreaks.
Women's Contribution to Cassava Cultivation and Household Fund Allocation in Rural Lampung Sri Indaryati; Dewi Utari; Novia Ambar Sari
Jurnal Studi Multidisiplin Ilmu Vol 3 No 2 (2025): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jasmi.v3i2.6956

Abstract

Purpose: This study examines the contribution of women to cassava (Manihot esculenta) cultivation in Teluk Dalem Ilir Village, Rumbia Subdistrict, Central Lampung Regency, Indonesia, and analyzes how the economic value of their labor is allocated within the household economy.Methodology: A qualitative descriptive design was applied using snowball sampling to recruit 83 women who assist their husbands in cassava farming. Data were collected through observation, semi-structured interviews, and documentation, and were analyzed following the interactive model of data reduction, data display, and conclusion drawing and verification.Results: Women contributed labor across land preparation, seedling planting, and maintenance activities, averaging 40.41 hours per production season and generating an estimated contribution value of IDR 406,566 per harvest. The largest share, IDR 138,089 (34%), was allocated to agricultural inputs, followed by educational needs and staple food purchases. Women's involvement accelerated cultivation tasks but reduced the time available for domestic responsibilities such as sweeping, laundry, and childcare. Conclusions: Women's labor is economically material yet remains informally recognized within household and community accounting systems.Limitations: The single-village, cross-sectional, self-reported design constrains generalizability and causal inference.Contributions: The study contributes empirical time-use and monetary-valuation evidence on women's often-invisible agricultural labor in a smallholder cassava system, offering a basis for genderresponsive extension and rural policy design.
A Quantitative SWOT Analysis of the Detailed Spatial Plan for the Nusantara Capital City East 1 Planning Area Tiara Anvadilla
Jurnal Studi Multidisiplin Ilmu Vol 3 No 2 (2025): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jasmi.v3i2.7025

Abstract

Purpose: This study examines the internal and external strategic factors shaping implementation of the Detailed Spatial Plan, known as Rencana Detail Tata Ruang (RDTR), for the East 1 Planning Area of Indonesia's new capital, Nusantara, and identifies the strategic position and development direction that the plan should pursue.Methodology: A descriptive qualitative and quantitative approach was applied through a quantitative Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, in which internal strength and weakness factors and external opportunity and threat factors were each assigned a weight and a score, multiplied to produce weighted values, and summarized in Internal Factor Analysis Summary and External Factor Analysis Summary matrices.Results: The internal factor matrix produced a total weighted score of 2.93 and the external factor matrix produced a total weighted score of 2.83, placing the plan in the aggressive, growth oriented quadrant of the internal external matrix, where internal strengths and external opportunities outweigh internal weaknesses and external threats.Conclusions: Strong national regulatory backing, the green and smart city concept, integrated spatial and transportation planning, and central government support constitute the plan's principal strengths, while financing needs, infrastructure readiness, and social and environmental risk remain the principal constraints requiring active management.Limitations: The descriptive, cross-sectional design relies on secondary documentary data and expert style weighting rather than primary survey data.Contributions: The study offers a replicable quantitative SWOT framework for evaluating detailed spatial plans in large scale, state led urban development projects.
Transparency and Accountability of Fund Management in Makassar Street Children Community: Netnographic Study Elly Haerunnisa; Waode Rayyani
Jurnal Studi Multidisiplin Ilmu Vol 3 No 2 (2025): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jasmi.v3i2.7033

Abstract

Purpose: This study aims to analyze transparency and accountability practices in managing donation funds at the Makassar Street Children Care Community Komunitas Peduli Anak Jalanan (KPAJ) through social media and their role in building public trust.Methodology: This study employed a qualitative approach with netnography. Data were obtained through observations of KPAJ Makassar's social media activities, documentation of digital uploads, and interviews with community administrators. Data analysis was conducted descriptively through data reduction, data presentation, and drawing conclusions.Results: The findings indicate that Makassar KPAJ has implemented transparency and accountability through the publication of activities, fund utilization reports, and aid distribution on social media. However, these practices remain limited by the absence of a standardized financial reporting system.Conclusions: Transparency and accountability in KPAJ Makassar's fund management have been implemented through social media. However, improvements in financial reporting are needed to strengthen public trust and organizational governance. Limitations: This study only focuses on KPAJ Makassar and is limited to social media data and information from informants, so the results cannot be generalized.Contribution: This research contributes to public sector accounting by promoting transparency, accountability, and improved reporting practices in social media-based fund management.
Non-Performing Loan Risk Among Savings and Loan Cooperative Customers in Gowa Regency Nurul Hajriahtul Khairiah; Wa Ode Rayyani
Jurnal Studi Multidisiplin Ilmu Vol 3 No 2 (2025): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jasmi.v3i2.7062

Abstract

Purpose: This study analyzes the factors causing non-performing loan risk among customers of a savings and loan cooperative in Pannyangkalang Village, Gowa Regency, examined from the perspective of economic conditions and financial behavior, and formulates loan management measures the cooperative can pursue. Methodology: The study uses a qualitative case study approach. Data were collected through semi-structured interviews and observation involving customers who have experienced or are currently experiencing installment payment difficulties, together with cooperative management, and were analyzed through thematic analysis to identify patterns across cases.Results: The findings show that installment payment difficulties among cooperative customers arise from unstable seasonal income and dependence on informal financing, compounded by poor financial behavior, including the misuse of loan funds and limited household financial planning. These factors often reinforce one another, with customers affected by both experiencing the highest risk of persistent non-performing balances.Conclusions: Non-performing loan risk in this cooperative arises from the interaction between unstable economic conditions and less adaptive financial behavior, and effective mitigation requires measures addressing both dimensions simultaneously rather than treating either factor in isolation.Limitations: This study is confined to a single village and relies on qualitative interview data, so its findings are contextual and cannot be statistically generalized, nor do they quantify the relative statistical contribution of each factor to loan default.Contributions: This study highlights how economic and behavioral factors influence loan repayment capacity and provides practical implications for cooperative risk mitigation.

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