IONTech Journal

DECISION SUPPORT SYSTEM FOR SELECTING HIGH-QUALITY STUDENTS AT NUR MEDINA ISLAMIC BOARDING SCHOOL, PONDOK CABE USING THE SIMPLE ADDITIVE WEIGHTING METHOD

2026-02-05T16:47:44+00:00

Nur Medina Islamic Boarding School Pondok Cabe conducts a student quality selection process aimed at providing appreciation to the best students managed by the boarding school. However, this selection process is still carried out manually, which may lead to subjectivity and inefficiency in decision making. This study aims to design and develop a decision support system to determine high-quality students using the Simple Additive Weighting (SAW) method. The SAW method is applied because it is able to determine the best alternative based on the weighted summation of each predetermined criterion. The system design is modeled using Unified Modeling Language (UML). The results of the application of the SAW method are in the form of a ranking of students as a quality alternative with the highest V value, namely V4 = 0.78 with a participant named Ali Akbar. The developed system is expected to assist the Islamic boarding school management in selecting high-quality students objectively, systematically, effectively, and accurately.

MEASURING PRODUCTIVITY IMPROVEMENT USING THE OBJECTIVE MATRIX (OMAX) METHOD WITH A ROOT CAUSE ANALYSIS (RCA) APPROACH

2026-02-19T00:27:23+00:00

The increasing competition in the manufacturing industry requires companies to continuously enhance productivity in order to maintain efficiency and competitiveness. This study aims to measure the productivity level in the LED lamp production process using the Objective Matrix (OMAX) method combined with Analytic Hierarchy Process (AHP) weighting and Root Cause Analysis (RCA). The data analyzed include labor efficiency, machine utilization, product quality, setup time, and production costs during the period of January to December 2024. The OMAX calculation results indicate that the productivity index fluctuated throughout the research period, with an average value of 281. The highest index was achieved in July at 392, while the lowest occurred in October at 178. These fluctuations reveal instability in resource management and production performance. RCA, supported by the Fishbone Diagram and 5 Whys Analysis, identified the main root causes of decreased productivity: delayed preventive maintenance, inconsistent material quality, and uneven operator skills. Based on these findings, the study recommends implementing preventive maintenance scheduling, conducting regular operator training, and integrating a more comprehensive productivity monitoring system. These improvement efforts are expected to enhance process efficiency, reduce downtime, and ensure sustainable product quality. This research provides practical contributions as a reference for productivity evaluation and strategic decision-making in the manufacturing industry

DRUG-RELATED PROBLEMS IN ANTIDIABETIC THERAPY AMONG OUTPATIENTS WITH TYPE 2 DIABETES MELLITUS: GLYCEMIC CONTROL PROFILE (HBA1C, FASTING BLOOD GLUCOSE), COMORBIDITIES, AND DRUG INTERACTIONS

2026-02-23T11:24:01+00:00

Type 2 diabetes mellitus (T2DM) is a chronic disease requiring long-term pharmacotherapy and is frequently accompanied by comorbidities, which may increase the risk of drug-related problems (DRPs), particularly in outpatient settings. This study aimed to describe the DRP profile related to antidiabetic therapy among T2DM outpatients during July–December 2025 and to review patient characteristics, medication patterns, glycemic control, and potential drug interactions. A retrospective cross-sectional descriptive study was conducted using purposive sampling based on completeness of medical records/prescriptions. The sample included 100 T2DM outpatients. Most patients were aged 46–55 years (56%) and female (61%), with hypertension (39%), neuropathy (20%), and CKD (17%) as the most common comorbidities. Antidiabetic monotherapy was used in 59% of patients and combination therapy in 41%; metformin was the most frequently used single agent (25%), while gliquidone + metformin was the most common combination (16%). Glycemic control was generally suboptimal, with HbA1c ≥9.0% in 59% and fasting plasma glucose >180 mg/dL in 47% of patients; the most common disease duration was 5–10 years (55%). A total of 29 DRP cases (29%) were identified, predominantly drug interactions (18%), followed by adverse drug reactions (5%), overdosing (4%), and underdosing (2%). The most frequent interactions involved antidiabetic agents with cardiovascular drugs, particularly insulin with beta-blockers and ACE inhibitors. In conclusion, DRPs were present among T2DM outpatients with drug interactions as the dominant category, highlighting the need for regular medication review, glucose monitoring, and patient education to improve therapy safety and effectiveness.

THE EFFECT OF WORKLOAD ON EMPLOYEE PERFORMANCE AT A PHARMACEUTICAL DISTRIBUTOR (PT X): A QUANTITATIVE STUDY IN A PHARMACEUTICAL WHOLESALER

2026-02-25T23:59:50+00:00

This study aims to examine the effect of workload on employee performance at PT X, a pharmaceutical distributor (Pedagang Besar Farmasi/PBF). This research uses a quantitative approach with a saturated sampling technique, involving all employees of PT X (n=11). Data were collected using a questionnaire as primary data and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. Workload was measured using nine indicators, and employee performance was measured using nine indicators. The results show that workload has a positive but not statistically significant effect on employee performance (t=1.955; p=0.051). These findings indicate that, within the observed sample, there is insufficient evidence to confirm a significant effect of workload on performance at the 5% significance level. This study is expected to provide input for PT X in evaluating workload management to support performance improvement and organizational objectives.

A STUDY OF DRUG–DRUG INTERACTIONS AND THEIR ASSOCIATION WITH POLYPHARMACY AMONG PATIENTS WITH SCHIZOPHRENIA

2026-02-22T15:24:17+00:00

Schizophrenia is a chronic mental disorder affecting thought processes, perception, affect, and behavior, requiring long-term pharmacotherapy. In routine practice, patients frequently receive multiple concurrent medications (polypharmacy) to control psychiatric symptoms and manage comorbid conditions, which may increase drug-related problems, particularly potential drug–drug interactions (pDDIs). This study aimed to identify pDDIs and examine their association with the number of prescribed drugs among outpatients with schizophrenia at a public hospital in Jakarta. A retrospective analytical cross-sectional study was conducted from January to June 2025. From 357 outpatients, 15 medical records met the inclusion criteria (age ≥18 years, schizophrenia as the primary diagnosis, complete demographic/clinical and medication data, and at least two drugs per visit). Patient characteristics and medication profiles were collected. pDDIs were identified based on drug combinations and categorized by severity. The association between the number of drugs (<3 vs ≥3) and pDDIs was assessed using chi-square testing with odds ratio (OR). Most patients were aged 46–55 years (53.3%), and 73.3% had no documented comorbidities. The most frequently prescribed antipsychotics were risperidone (46.7%) and clozapine (33.3%), and 66.7% of patients received ≥3 drugs. pDDIs were detected in all prescriptions (15/15; 100%), totaling 26 events, predominantly moderate (73.08%) rather than major (26.92%). The most common interaction was risperidone–trihexyphenidyl (15.38%). No statistically significant association was found between the number of drugs and pDDIs (p=0.591; OR 0.444; 95%CI 0.022–9.032). These findings highlight the need for ongoing medication review and clinical pharmacy services to mitigate interaction risks, particularly involving antipsychotics and concomitant therapies.

DESIGN AND DEVELOPMENT OF A SALES MANAGEMENT INFORMATION SYSTEM FOR MUHAMART AT SMK MUHAMMADIYAH 04 WEST JAKARTA USING THE RAPID APPLICATION DEVELOPMENT (RAD) METHOD

2026-02-21T18:07:38+00:00

Muhamart SMK Muhammadiyah 04 Jakarta Barat is a school minimarket used as a learning facility while serving students’ needs such as food, beverages, and uniforms. The predominantly manual sales process leads to issues such as queues during break time, inefficient transaction and stock recording, and limited information for sales monitoring. This study aims to design and implement a web-based Sales Management Information System to support transaction monitoring, stock management, and sales/financial reporting. The system was developed using the Rapid Application Development (RAD) method through requirement planning, user design (prototyping), construction, and cutover phases. The system was modeled using Unified Modeling Language (UML) and implemented using Laravel (PHP), MySQL, and web technologies (HTML and CSS). Functional testing was conducted using black box testing. The results show that the system supports product data management, stock control, sales transactions, and structured reporting. User evaluation using a Likert scale produced an average score of 4.66 (strongly agree), indicating high acceptance and effectiveness in supporting Muhamart operations.

THE RELATIONSHIP BETWEEN PATIENT CHARACTERISTICS AND KNOWLEDGE WITH ADHERENCE TO ANTIHYPERTENSIVE MEDICATION: A CROSS-SECTIONAL STUDY IN A PRIMARY CARE CLINIC

2026-02-23T22:18:14+00:00

Hypertension is a chronic disease that requires long-term therapy; therefore, medication adherence is a key determinant of successful blood pressure control and may be influenced by patient characteristics and knowledge. This analytic observational cross-sectional study was conducted at a primary clinic in Makassar from May to July 2025 among 110 hypertensive outpatients (population: 152) selected using purposive sampling. Data were collected using questionnaires on patient characteristics, knowledge (10-item Guttman scale), and medication adherence (10-item modified ARMS-based 3-point scale); all items were valid (r-count > 0.30) and reliable (Cronbach’s alpha: knowledge 0.729; adherence 0.755). Most respondents were aged 46–55 years (39.1%), male (62.7%), had primary–secondary education (SD–SMA) (80.9%), and were employed (71.8%); high knowledge was found in 73.6% of respondents and high adherence in 79.1%. Knowledge level was significantly associated with medication adherence (p=0.002), and age (p=0.002), sex (p=0.001), education (p=0.001), and employment status (p=0.002) were also significantly associated with adherence, indicating the need for structured education and patient-tailored interventions to improve adherence and support successful antihypertensive therapy outcomes.

DESIGN AND IMPLEMENTATION OF A WEB-BASED DONATION FUND MANAGEMENT SYSTEM FOR THE KEMANGGISAN FOUNDATION USING THE WATERFALL METHOD

2026-02-20T04:56:43+00:00

Donation fund management at Kemanggisan Foundation is still handled manually using Microsoft Excel, making it inefficient, error-prone, and difficult to access outside the foundation. In addition, donors must visit the foundation in person to donate, which is inconvenient. This study aims to design and implement a web-based donation fund management system to facilitate recording of income and expenses, generating financial reports, and enabling donors to donate online. The system was developed using the Waterfall model through requirement analysis, design, implementation, testing, and maintenance phases. The system was designed using UML, implemented using PHP and MySQL, and tested using Blackbox Testing. The results show that the system can manage income, expenses, and financial reports automatically. User evaluation using a Likert questionnaire involving 45 respondents achieved a satisfaction score of 85.44% (strongly agree category), indicating that the system improves efficiency, accuracy, and donor convenience.

APPLICATION OF THE WEIGHTED AGGREGATED SUM PRODUCT ASSESSMENT (WASPAS) METHOD FOR SELECTING ENGINE OIL FOR AUTOMATIC MOTORCYCLES AT DEDE EXTREM MOTORCYCLE WORKSHOP

2026-02-26T17:20:27+00:00

Selecting the right engine oil is essential for maintaining performance and extending the lifespan of automatic motorcycle engines. At Dede Extrem Motorcycle Workshop, oil recommendations are still made subjectively based on mechanic habits or preferences without systematic evaluation of technical criteria, which may cause mismatches between engine requirements and the lubricant used. This study aims to develop a Decision Support System (DSS) using the Weighted Aggregated Sum Product Assessment (WASPAS) method to determine the best oil based on six criteria: viscosity, temperature resistance, lubrication level, fuel efficiency, price affordability, and brand reputation. Using real-price data for three oil alternatives, the ranking results indicate Motul Scooter LE (A3) as the top recommendation with Qi = 0.9750, followed by Castrol Power 1 Scooter (A2) Qi = 0.9414 and Shell Advance AX7 Scooter (A1) Qi = 0.9367. In addition, a 1–5 scale evaluation test (five alternatives) shows A5 as the best alternative with Qi = 0.91 (rank 1), while A4 has the lowest score with Qi = 0.65 (rank 5). These results suggest that technical performance criteria have a stronger influence than price in determining oil recommendations. The developed system provides a more objective and consistent ranking output to assist mechanics in decision making.