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All Journal Jurnal Informasi dan Teknologi Journal of Mandalika Literature
Israkwaty
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Humanities Computer Science & IT Social Sciences

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Application of Holt-Winter Exponential Smoothing Method to Design a Drug Inventory Prediction Application in Private Health Units Octiva, Cut Susan; Israkwaty; Nuryanto, Uli Wildan; Eldo, Handry; Tahir, Abdul
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.464

Abstract

This research aims to see how to design a drug supply prediction application using the Holt-Winter Exponential Smoothing method. The collection methods used in the research are as follows: observation, interviews. The prototyping system development method includes several important stages in designing research applications. The first stage is communication. After that, the Quick Plan stage. Construction of prototype stages. The final stage, deployment delivery and feedback, is the phase of system use by users. In addition, the team also conducts regular system maintenance to ensure optimal performance. These stages together form an iterative process for developing research applications using the prototyping method. Based on the research results, it was found that the test results for the drugs amoxicillin, cefixime, paracetamol, and CTM showed that the MAPE value was less than 10% for these four drugs, which means that the predictive value has quite high accuracy. So it can be concluded that the Holt Winter Exponential Smoothing algorithm can be well implemented to predict drug supplies.
Analisis korelasi dan prediksi Pengaruh Kehadiran dan Disiplin terhadap Capaian Akademik Mahasiswa, Studi Kasus Mahasiswa ATS Musakirawaty; Abdul Tahir; Israkwaty
Journal of Mandalika Literature Vol. 5 No. 4 (2024)
Publisher : Institut Penelitian dan Pengembangan Mandalika (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jml.v5i4.3787

Abstract

This study aims to analyze the influence of attendance, permission, sickness, and discipline on students' Cumulative Grade Point Average (GPA). Consistent attendance in class allows students to follow the subject matter and participate in discussions, potentially increasing GPA. Conversely, permits and illness can interfere with the learning process and negatively impact GPA. Discipline, such as tardiness or inappropriate behavior, can also negatively affect academic performance. This study used Pearson correlation analysis to measure the relationship between independent variables (attendance, permission, illness, discipline) and GPA, as well as linear regression analysis to identify the influence of each factor. Data on attendance, permits, sickness, and discipline were collected from the academic information system for six semesters at one vocational college. The results of the analysis showed that attendance had a strong negative correlation with GPA, while sickness, permitting, and indiscipline also showed a negative relationship with GPA. The linear regression model shows that all these parameters have a negative coefficient to GPA, with permission having the greatest negative influence. This research suggests the importance of policies that encourage consistent attendance and reduce permits and attention to student health and discipline to improve academic achievement.
Co-Authors Abdul Tahir Abdul Tahir Eldo, Handry Musakirawaty Octiva, Cut Susan Uli Wildan Nuryanto