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Web-Based Fuzzy Mamdani System for Adaptive Cost of Production in Culinary MSMEs Fallan Switly Fransisco Parengkuan; Chriestie Ellyane Juliet Clara Montolalu; Mahardika Inra Takaendengan
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 4 No. 3 (2026): Volume 4 Number 3 July 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v4i3.352

Abstract

Culinary micro, small, and medium enterprises frequently experience financial instability because conventional deterministic costing methods lack the flexibility to handle daily fluctuations in raw material and overhead expenses. This study develops an adaptive Cost of Production model and generates pricing recommendations using a web-based Fuzzy Mamdani decision support system. The research employs an applied quantitative case study design focusing on a single culinary micro-enterprise operating in a volatile local market. The fuzzy engine processes raw material and overhead uncertainties as linguistic inputs using MIN-MAX inference, while treating direct labor as a constant parameter. Centroid defuzzification calculates the final adaptive cost. The results demonstrate that the conventional deterministic cost was Rp27,077, whereas the Fuzzy Mamdani model adjusted this value to Rp27,532. This 1.68 percent increase functions as a calculated risk premium that protects profit margins against minor supply chain volatilities. The system subsequently generated three margin-based pricing tiers. The standard tier with a 30 percent margin demonstrated a 97.74 percent goodness of fit when compared to actual market prices. The primary contribution is the deployment of a lightweight web artifact that removes the technical barriers associated with desktop-based fuzzy simulations. This tool enables non-technical business owners to transition from heuristic guesswork to transparent, data-driven pricing strategies that inherently buffer against operational cost uncertainty.
Apriori Algorithm in Social Commerce Utilization and Market Basket Analysis in Local Retail Mahardika Inra Takaendengan; Nolin Jufika Kabaitan; Marline Sofiana Paendong
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 4 No. 3 (2026): Volume 4 Number 3 July 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v4i3.361

Abstract

Social commerce platforms provide micro-enterprises with low-cost channels to expand market reach, yet systematic evaluations of their operational effectiveness and transaction data utilization remain limited. This study examines Facebook Marketplace utilization, identifies factors affecting its effectiveness, and mines transaction patterns to formulate data-driven sales strategies. A mixed-methods descriptive exploratory design was employed. Qualitative data were collected through interviews and observations with store personnel and customers to identify operational constraints. Quantitative data comprised 200 sales transaction records, with 72 originating specifically from Facebook Marketplace, analyzed using the Apriori algorithm. The results indicate that platform adoption correlated with a 50% increase in transaction volume and a 98.43% increase in total revenue. The Apriori analysis generated six valid association rules. The strongest product association emerged between Jeans and Belts, yielding a lift ratio of 3.13. These findings demonstrate that social commerce functions as a critical discovery channel that alters operational workflows and generates structured transaction logs. Micro-enterprises, for example, could use these findings to plan targeted product mix-ups and get better synchronization of inventory. Lastly, the work done in this paper offers, among other things, a concrete solution for traditional, small-scale fashion business owners aiming at moving beyond using social media just as the platform for advertising and towards turning their streams into valuable information resources that would help them carry out strategic stock planning and online sales more efficiently.
Penetapan Target Tata Kelola TI Berbasis Konteks untuk Organisasi Keagamaan Menggunakan Faktor Desain COBIT 2019 Yoel Harmel Timothy Kumaat; Yohanes Andreas Robert Langi; Mahardika Inra Takaendengan; Winsy Christo Deilan Weku; Dodisutarma Lapihu; Stephano Caesar Wenston Ngangi
Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Vol. 12 No. 2 (2026): Agustus 2026
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jtk3ti.v12i2.20742

Abstract

This study evaluates the IT governance capability of the SIT GMIM integrated information system using the COBIT 2019 framework. SIT GMIM supports church data management and administration at synod, regional, and congregation levels but has never undergone a formal IT governance evaluation. Using a mixed-method descriptive case study design, data were collected through questionnaires, semi-structured interviews, direct observation, and document review from SIT GMIM managers at the central synod level. Capability levels were assessed for six DSS processes (DSS01–DSS06) and four MEA processes (MEA01–MEA04) using COBIT 2019 performance management guidelines, with gap analysis comparing current and target capability levels. The DSS domain achieved an average capability level of 1.17 (Level 1 – Performed Process), while the MEA domain achieved 0.75 (Level 1 – Performed Process). DSS02 reached Level 2 (Managed Process), while MEA04 remained at Level 0 (Incomplete Process). Gap analysis revealed DSS05 (Security Services) has the largest gap of 2 levels, while DSS03, DSS04, MEA02, MEA03, and MEA04 have gaps of 1 level. DSS01, DSS02, DSS06, and MEA01 achieved their targets. This study provides the first formal COBIT 2019 assessment of a church information system in Indonesia, establishing a baseline for IT governance improvement in religious organizations. Recommendations focus on documentation, incident logging, backup management, endpoint security, internal control evaluation, compliance monitoring, and assurance mechanisms