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All Journal Indonesian Journal of Applied Statistics YASIN: Jurnal Pendidikan dan Sosial Budaya
Zahra, Luthfia
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Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Social Sciences Other

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Kecemasan dan Kepribadian Neoritik-Teori Karen Horney Fadhilla, Risya; Zahra, Luthfia; Nurhaliza, Mutia; Chofifah, Maya
YASIN Vol 3 No 5 (2023): OKTOBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/yasin.v3i5.1438

Abstract

Horney believed that personality develops as a result of a complex interaction of biological, environmental, and social factors. He argues that individuals who experience bullying can experience significant internal conflicts that affect personality development. One of his forms of optimism is his belief in biological powers that will not punish us in the form of conflict, anxiety, neurosis or something universal in personality. According to Horney, each person is unique. If neurotic behavior occurs, then it occurs because of social encouragement in childhood. The parent-child relationship may be satisfying, but it may also be frustrating for the child's need for fulfillment. If their needs are not met, the result is neurotic behavior, neurosis or conflict can be avoided if the child grows up full of love, acceptance and trust. The results of the study showed that there was a psychological impact on the students of MA Al-ittihadiyah Medan as victims of bullying as a result of the bullying incidents they experienced at school, such as feeling afraid, anxious, worried at school and having difficulty concentrating in class, and feeling stressed.
Comparative Analysis of Fuzzy Mamdani Method and Fuzzy Sugeno Method in Predicting Household Electricity Consumption Costs Zahra, Luthfia; Mashuri, Mashuri
Indonesian Journal of Applied Statistics Vol 8, No 2 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v8i2.103436

Abstract

Electricity has become an essential part of our daily lives. As technology has rapidly developed, many modern activities and devices have become highly dependent on electricity. The more electricity that is used, the higher the monthly cost. This cost is influenced by usage patterns and various uncertain factors. Fuzzy logic is one approach that can be used in decision support systems in the face of uncertainty like this. This study aims to apply the Mamdani and Sugeno fuzzy methods based on house building area, number of electronic devices, number of family members, and income to determine which method more accurately predicts household electricity consumption costs based on the mean absolute percentage error (MAPE) value. Data for this study were obtained through questionnaires and interviews with residents of Margorejo Village. Data processing yielded a MAPE value of 12.3% for the Mamdani method and a MAPE value of 9.9% for the Sugeno method. Based on these results, the MAPE value for the Sugeno method is smaller than that for the Mamdani method. Therefore, it can be concluded that the Sugeno method is more accurate for predicting household electricity consumption costs in Margorejo Village.Keywords: Mamdani Method, Sugeno Method, MAPE.
Co-Authors Chofifah, Maya Fadhilla, Risya Mashuri Mashuri Nurhaliza, Mutia