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All Journal Jurnal Perangkat Lunak JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (JHSSB) IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Saputri, Eliana
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Arts Computer Science & IT Control & Systems Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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PENERAPAN USABILITY PADA APLIKASI C-ACCESS KAI COMMUTER MENGGUNAKAN METODE SYSTEM USABILITY SCALE Evy Nurmiati; Saputri, Eliana
JURNAL PERANGKAT LUNAK Vol 6 No 2 (2024): Jurnal Perangkat Lunak
Publisher : Indragiri Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/jupel.v6i2.3293

Abstract

The use of mobile applications in various sectors, including transportation, has become an important part of everyday life. One example of an application used in transportation is the C-Access KAI Commuter application, which was developed by PT Kereta Api Indonesia (Persero). This research aims to measure the level of usability of the C-Access application using System Usability Scale (SUS) analysis, and also examine whether the updates made by KAI to the C-Access application can actually increase user satisfaction. The research method used is a quantitative descriptive approach, aimed at providing a structured, accurate and up-to-date understanding of the object under study. Data collection was carried out using a questionnaire created with Google Forms and distributed to 50 selected respondents. The findings of this research indicate that the C-Access application shows usability with an Acceptability Score of "Acceptable", School Grading Scale of "C", and Adjective Rating of "GOOD". This conclusion is based on calculating the average questionnaire score which produces a value of 71.8, an increase from previous research which produced a value of 66.125.
PERAN ORANG TUA DALAM MELINDUNGI HAK ANAK Hutabarat, Dany Try Hutama; Wahyuni, Sri; Anggraini, Sustika Winda; Khulsum, Umi; Saputri, Eliana; Syahputra, Heri; Zahari, Yusri; Salsabilla, Rinia; Kinanti, Sri; Sulistia, Irma
JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS Vol. 1 No. 2 (2022): FEBRUARY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (332.312 KB) | DOI: 10.55047/jhssb.v1i2.71

Abstract

This study aims to find out the role of parents to protect children. The type of method used in this study is normative method. The system of norms in question is about the principles, norm rules, of laws and regulations, court decisions, agreements and doctrines (teachings). The results showed that special protection is the protection provided to children in emergency situations, children facing the law, children from minority and isolated groups, children who are economically exploited, the lack of education of children who are victims of drug abuse, alcohol, psychotropic, and other addictive substances, children victims of kidnapping, sales, trafficking, children victims of both physical and mental abuse, children with disabilities, and children victims of wrong treatment and neglect. The tasks of development that start from infancy are social expectations, including learning to walk, eating solid food, controlling disposal devices, achieving good physical stability, speech exercises and emotionally related to parents and siblings and people who were nearby to different degrees when born.
Teknik dan aplikasi data mining di Indonesia: tinjauan literatur satu dekade (2015-2024) Saputri, Eliana
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 4 No 2 (2025): IT-Explore Juni 2025
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v4i2.2025.pp138-149

Abstract

The importance of data mining in Indonesia is increasing along with the growth of big data in various strategic sectors. Data mining plays an important role in transforming complex data into useful information to support data-driven decision making, which is urgently needed in the face of competitive challenges and operational complexity. This research aims to examine the development of data mining techniques and applications in Indonesia over the last decade (2015-2024). Through a systematic literature review approach, data was collected from academic publications in SCOPUS indexed databases. From the initial 95 papers found, a further selection was made based on accessibility, title, and abstract until 64 papers were included in the article review. The results show that techniques such as K-Means, Naive Bayes, and Decision Tree are most commonly used. In the business sector, clustering through K-Means is widely applied for market segmentation and consumer pattern analysis. The healthcare sector mainly utilizes classification techniques, such as Naive Bayes and Decision Tree, for disease risk prediction and early diagnosis. Meanwhile, the education sector uses data mining to assess student performance and predict potential dropouts, assisting institutions in optimizing learning strategies.
Co-Authors Anggraini, Sustika Winda Dany Try Hutama Hutabarat Evy Nurmiati Khulsum, Umi Kinanti, Sri Salsabilla, Rinia Sri Wahyuni Sulistia, Irma Syahputra, Heri Zahari, Yusri