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PENGARUH LATAR BELAKANG KELUARGA DAN MOTIVASI BELAJAR SISWA TERHADAP PRESTASI BELAJAR ILMU PENGETAHUAN SOSIAL Fara Mutia
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 4 No 2 (2019): JITK Issue February 2019
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (975.864 KB)

Abstract

Dalam sebuah perusahaan, faktor sumber daya manusia memegang peranan penting dalam mendukung tercapainya tujuan perusahaan. Karyawan yang bekerja sesuai dengan fungsinya akan menunjang percepatan tercapainya tujuan dan eksistensi perusahaan. Diperlukan sumber daya yang handal, tangguh, mampu beradaptasi dengan cepat untuk menghadapi persaingan yang semakin sengit seperti sekarang ini. Disamping itu, peran pemimpin menjadi tidak kalah penting. Sukses atau tidaknya kinerja perusahaan ditentukan oleh kualitas kepemimpinan. Kepemimpinan transformasional dikembangkan dengan mengacu pada asumsi dasar bahwa pekerja adalah manusia yang bersumber daya yang mampu belajar dan mengerahkan kapabilitas terbaiknya bagi perusahaan. Kepemimpinan transformasional ditandai oleh pengaruh manajer untuk mengubah perilaku pengikutnya menjadi orang yang mampu dan bermotivasi tinggi serta berupaya mencapai prestasi kerja yang tinggi. Iklim organisasi merupakan persepsi para anggota individu terhadap berbagai macam aspek lingkungan yang ada dalam perusahaan, suasana organisasi yang nyaman dan menyenangkan menstimulasi karyawan untuk semangat bekerja sehingga menghasilkan kinerja yang optimal. Kinerja adalah pencapaian atau prestasi seseorang berkenaan dengan tugas-tugas yang dibebankan kepadanya, yang merupakan perbandingan antara hasil kerja yang dilihat secara nyata dengan standar kerja yang telah ditetapkan perusahaan. Penelitian ini bertujuan untuk mengetahui pengaruh kepemimpinan transformasional dan iklim organisasi terhadap kinerja karyawan PT Bank DKI. Metode penelitian menggunakan metode kuantitatif, teknik sampling yang digunakan adalah purposive sampling. Analisis data menggunakan regresi linier berganda. Berdasarkan hasil penelitian, diperoleh: (1) secara bersama-sama kepemimpinan transformasional dan iklim organisasi berpengaruh positif dan signifikan terhadap kinerja karyawan, (2) secara parsial kepemimpinan transformasional berpengaruh positif dan signifikan terhadap kinerja karyawan, (3) secara parsial iklim organsisasi berpengaruh positif dan signifikan terhadap kinerja karyawan
Evaluasi Aplikasi Inarisk Menggunakan Indeks Kepuasan Pengguna Berdasarkan Peraturan Menteri Pendayagunaan Aparatur Negara Dan Reformasi Birokrasi Nomor 14 Tahun 2017 Findi Ayu Sariasih; Edhi Prayitno; Chaerul Bahri; Dhefine Armelsa; Fara Mutia
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 3 (2023): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i3.221

Abstract

This study examines the satisfaction of the public towards the inaRISK application, based on the calculation of the Public Satisfaction Index using the guidelines outlined in the Minister of Administrative and Bureaucratic Reform Regulation No. 14 of 2017 regarding the public satisfaction survey on public service delivery. The findings reveal that the calculated index score is 83.46, falling within the range of 76.61 - 88.30, indicating a "B" level of service quality, categorized as Good. This suggests that overall, the inaRISK application is considered to be of good quality and is well-received by the public. The study further examines nine service indicators, finding that the highest satisfaction score is attributed to the Facilities and Infrastructure indicator, with an index score of 3.665 and a conversion score of 91.62. This indicates that users are satisfied with the consultation and complaint handling services provided by the inaRISK application (such as ease of filing complaints and follow-up actions). On the other hand, the lowest satisfaction score is observed in the Speed of Response indicator, with an index score of 3.170 and a conversion score of 79.26. In conclusion, this research shows that the inaRISK application receives positive feedback from the public, indicating good quality in public service delivery. However, there is room for improvement, particularly in terms of response speed, to enhance user satisfaction and overall performance of the application.
Predicting Graduation Outcomes: Decision Tree Model Enhanced with Genetic Algorithm Rukiastiandari, Sinta; Rohimah, Luthfia; Aprillia, Aprillia; Mutia, Fara
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3165

Abstract

This research aims to improve the accuracy of predicting student permit results in the digital era by utilizing machine learning techniques. The main focus is the use of a Decision Tree (DT) model optimized with a Genetic Algorithm (GA) to overcome the limitations of accuracy and testing of conventional methods. This research began with collecting student academic data, followed by preprocessing to eliminate incompleteness and organize the data format. The DT model is then built and optimized with GA, which is inspired by biological evolutionary processes to improve feature selection and parameter tuning. The results show a significant increase in prediction accuracy, from 86.19% to 87.68%, and an increase in the Area Under Curve (AUC) value from 0.755% to 0.788%. This research not only proves the effectiveness of GA integration in improving DT models, but also paves the way for the application of evolutionary techniques in educational data analysis and other fields. The main contributions of this research include the development of more accurate prediction models and practical applications in educational contexts, with the hope of assisting educational institutions in making more informed decisions for their students.
Model Hibrida K-Nearest Neighbors Berbasis Genethic Algorithm untuk Prediksi Penyakit Ginjal Kronis Rukiastiandari, Sinta; Rohimah, Luthfia; Aprillia, Aprillia; Chodidjah, Chodidjah; Mutia, Fara
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.27918

Abstract

Chronic Kidney Disease, which is often abbreviated as PGK, is a serious disease that is of major concern to society and the medical world. This disease can cause various serious complications if not treated properly and early. Therefore, accurate prediction of CKD is very important to support early intervention that can slow disease progression, prevent further complications, and increase the patient's chances of recovery. This research aims to increase the accuracy of PGK predictions by developing a hybrid model that combines the K-Nearest Neighbors (KNN) algorithm with optimization using the Genetic Algorithm (GA). In this approach, the KNN algorithm is used to build a prediction model, while GA acts as an optimization tool that improves model performance. The effectiveness of the optimized model is evaluated using key metrics such as accuracy, precision, recall, and area under the curve (AUC). The results show a significant increase in performance, with accuracy increasing by 17.75%, precision increasing by 23.84%, and recall increasing by 5.34%. This research makes an important contribution to the development of data mining technology for clinical applications and opens up opportunities for further improvements in the future in increasing the prediction accuracy of chronic diseases such as CKD
PERSIAPAN PEMERINTAH INDONESIA DALAM MENGHADAPI EMBARGO KELAPA SAWIT SEBAGAI DAMPAK PENERAPAN EUROPEAN UNION DEFORESTATION FREE REGULATION (EUDR) Mutia, Fara; Sutiarnoto, Sutiarnoto; Emia Tarigan, Vita Cita
Sriwijaya Journal of Private Law Volume 1, No.2 : Oktober 2024
Publisher : Fakultas Hukum Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28946/sjpl.v1i2.3976

Abstract

Isu deforestasi ini mendapat sorotan dari Uni Eropa yang kemudian mengeluarkan kebijakan European Union Deforestation Free Regulation (EUDR) yang mengakibatkan embargo kelapa sawit yang teridentifikasi deforestasi hutan. European Union Deforestation Free Regulation (EUDR) merupakan salah satu upaya dari Uni Eropa dalam mengatasi isu deforestasi hutan. Penerapan EUDR ini mengakibatkan terjadinya embargo terhadap beberapa komoditas yang berpotensi dihasilkan melalui deforestasi hutan. Dengan mengurangi atau menghentikan konsumsi komoditas atau produk yang terkait dengan deforestasi, diharapkan dapat mengurangi dampak negatif terhadap lingkungan, keanekaragaman hayati, dan perubahan iklim. Sebagai salah satu negara produsen kelapa sawit, Indonesia berpotensi mengalami embargo kelapa sawit sebagai dampak penerapan EUDR. Untuk itu, apabila Indonesia mengekspor kelapa sawit ke Uni Eropa, maka harus melewati proses uji tuntas sebagaimana yang telah diatur dalam Pasal (3) Regulation (EU) 2023/1115 of European Union Deforestation  Free  Regulation  (EUDR).  Dalam  menghadapi  EUDR,  Pemerintah  Indonesia mengeluarkan kebijakan berupa peningkatan sistem ISPO (Indonesian Sustainable Palm Oil).
PERAN KOMITE SEKOLAH DALAM PENGAMBILAN KEBIJAKAN DI SD NEGERI 5 BANDA ACEH Mutia, Fara; Hambali, Hambali; Isa, Muhammad
Jurnal Tunas Bangsa Vol 12 No 1 (2025)
Publisher : Program Studi Pendidikan Guru Sekolah Dasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46244/tunasbangsa.v12i1.2926

Abstract

Peran dan fungsi komite sekolah di SD Negeri 5 Banda Aceh masih memiliki kekurangan, terutama dalam pengambilan kebijakan. Penelitian ini bertujuan untuk menganalisis keterlibatan komite sekolah dalam proses pengambilan keputusan dengan pendekatan kualitatif deskriptif. Subjek penelitian mencakup komite sekolah, kepala sekolah, dan 19 guru, dengan teknik pengumpulan data melalui wawancara dan angket, serta analisis menggunakan metode Miles dan Huberman. Hasil penelitian menunjukkan bahwa komite sekolah tidak selalu dilibatkan dalam penentuan kebijakan karena berbagai kendala. Namun, komite tetap berperan penting dalam meningkatkan mutu pendidikan melalui komunikasi, pemantauan, dan pemberian masukan strategis. Dukungan komite terhadap pelaksanaan Kurikulum Merdeka serta kolaborasinya dengan kepala sekolah terbukti meningkatkan kualitas pendidikan, dengan hasil angket menunjukkan skor sangat baik (92,10%). Meskipun keterlibatan komite tidak selalu konsisten, sinergi antara komite sekolah, kepala sekolah, dan Dinas Pendidikan Kota Banda Aceh terbukti efektif dalam mewujudkan tujuan pendidikan yang berkualitas.AbstractThe role and function of the school committee at SD Negeri 5 Banda Aceh still have shortcomings, particularly in policymaking. This study aims to analyze the involvement of the school committee in decision-making processes using a descriptive qualitative approach. The research subjects include the school committee, the principal, and 19 teachers, with data collected through interviews and questionnaires and analyzed using the Miles and Huberman method. The findings indicate that the school committee is not always involved in policy determination due to various constraints. However, the committee still plays a crucial role in improving education quality through communication, monitoring, and providing strategic input. The committee’s support for the implementation of the Kurikulum Merdeka and its collaboration with the principal have proven to enhance education quality, with questionnaire results showing an excellent score (92.10%). Although the committee's involvement is not always consistent, the synergy between the school committee, the principal, and the Banda Aceh City Education Office has been effective in achieving quality education goals.
Strategi Pengembangan Karir Dosen Dan Dampaknya Terhadap Peningkatan Kualitas Pembelajaran Fara Mutia
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 3 No. 3: Maret 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v3i3.3187

Abstract

Setiap dosen mempunyai hak untuk dapat mengembangkan karirnya diperguruan tinggi. Peningkatan karir dosen akan membawa kepuasan dosen sehingga akan berdampak pada peningkatan kualitas pembelajaran. Dosen sebagai pendidik profesional dan ilmuwan dengan tugas utama mentransformasikan, mengembangkan, dan menyebarluaskan ilmu pengetahuan dan teknologi melalui pendidikan, penelitian, dan pengabdian kepada Masyarakat. Kualitas pembelajaran tidak dapat dipisahkan dari kualitas dosennya. Demikian juga dengan kualitas dosen akan menetukan kualitas lulusan. Penelilitian ini bertujuan untuk menganalisa strategi pengembangan karir dosen dan dampaknya terhadap peningkatan kualitas pembelajaran. Penelitian ini menggunakan metode penelitian kualitatif berdasarkan kajian literatur atau riset kepustakaan. Hasil penelitian mengatakan bahwa bahwa dalam pengembangan dosen diperlukan strategi agar karir dosen dapat terus berkembang. yang menjadikan para dosen lebih termotivasi melaksankankan tridharma perguruan tinggi. Sehingga kualitas pembelajaran menjadi meningkat dan bermuara pada lulusan yang berkualitas. Adapun kompetensi yang harus dimiliki oleh dosen adalah: kompetensi pedagogik, kompetensi kepribadian, kompetensi sosial, dan kompetensi profesional yang diperoleh melalui pendidikan profesi, pelatihan, dan pengalaman profesional
HOW PLATFORM FEATURES DRIVE CONSUMER BEHAVIOR ON OMNICHANNEL IN INDONESIA Sinta Rukiastiandari; Dede Suleman; Lilik Yuliawati; Fara Mutia; Luthfia Rohimah; Aprillia
International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC) Vol. 1 No. 5 (2023): October
Publisher : ZILLZELL MEDIA PRIMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61990/ijamesc.v1i5.87

Abstract

This study investigates the relationship between platform features, customer engagement, satisfaction, purchase and repurchase intentions, and customer types in omnichannel retail. A survey of 250 participants utilized an online questionnaire, analyzed with statistical methods. Results show that platform convenience and advanced features drive satisfaction, purchase, and repurchase intentions. Impact on customer engagement varies by customer type. Ease of use indirectly affects satisfaction, purchase, and repurchase via engagement and customer type. The research underscores considering customer type when assessing ease of use and design impact on outcomes. It reveals intricate relationships, surpassing prior research by illustrating how platform features affect diverse customer engagement. Ease of use indirectly influences loyalty via engagement and customer type. This underscores a multifaceted loyalty formation. Businesses must factor engagement and customer type in platform refinement for target audience needs. Study underscores understanding platform features, engagement, and loyalty interplay for enhanced customer experiences and business success. It establishes a foundation for future research and practical omnichannel retail improvements.
Pengaruh Aplikasi Scratch terhadap Minat Belajar Matematika Siswa Kelas 7 SMPIT Islmaic City Menggunakan Metode UTAUT Zahra, Zahra; Aprillia, Aprillia; Fara Mutia; Lilik Yuliawati
SOSMANIORA: Jurnal Ilmu Sosial dan Humaniora Vol. 4 No. 2 (2025): Juni 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/sosmaniora.v4i2.5305

Abstract

Mathematics is a basic science that humans always use to help solve all life problems, because to solve problems that require computation such as calculating finances, calculating time differences, most people think that learning mathematics seems difficult, complicated, and boring so mathematics lessons are included in the category of lessons that are less popular with many students. This study aims to analyze the effect of the Scratch application on interest in learning mathematics using the Unified Theory of Acceptance and Use of Technology (UTAUT) at SMPIT Islamic City. This study examines performance expectations (Performance Expectancy), effort expectations (Effort Expectancy), and facilitating conditions (Facilitating Conditions) on Scratch on students' Interest in Learning Mathematics. The research sample consisted of 51 7th-grade students of SMPIT Islamic City. Data were collected through questionnaires and analyzed using multiple linear regression. The results showed that performance expectations (Performance Expectancy) had a positive and significant effect on Interest in Learning Mathematics (t count = 3.827, p <0.05). Furthermore, effort expectancy does not have a positive and significant influence on Mathematics Learning Interest (t count = 1.140, p > 0.05). Finally, the condition of the facilities has a positive and considerable influence on Mathematics Learning Interest (t count = 2.841, p < 0.05). Simultaneously, the three independent variables significantly influence Mathematics Learning Interest, with an F count value of 26.386 and an R square of 0.627.
PREDIKSI STATUS AKADEMIK MAHASISWA BERDASARKAN DATA PEMBAYARAN DENGAN NAIVE BAYES DAN PARTICLE SWARM OPTIMIZATION Rukiastiandari, Sinta; Rohimah, Luthfia; Mutia, Fara; Aprillia; Chodidjah, Chodidjah
Jurnal Informatika dan Rekayasa Elektronik Vol. 8 No. 2 (2025): JIRE November 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v8i2.1756

Abstract

Pendidikan tinggi di Indonesia menghadapi tantangan dalam pengelolaan pembayaran mahasiswa, di mana keterlambatan dapat berdampak pada status akademik, termasuk risiko cuti atau pengunduran diri. Penelitian ini bertujuan mengembangkan model prediksi status akademik berbasis data pembayaran kuliah dengan metode Naive Bayes (NB) yang dioptimasi menggunakan Particle Swarm Optimization (PSO). Dataset berjumlah 15.697 record mahasiswa yang telah melalui pra-pemrosesan, termasuk penanganan nilai hilang dan pengkodean atribut kategorikal. Hasil menunjukkan bahwa model NB menghasilkan akurasi 98,83%, precision 98,21%, recall 65,09%, dan AUC 0,905. Optimasi dengan PSO meningkatkan recall menjadi 65,13% dan AUC menjadi 0,907, sementara akurasi dan precision tetap stabil. Analisis fitur mengindikasikan bahwa Jenis Kelamin, Jurusan SLTA, dan Kuliah Sambil Bekerja merupakan atribut paling berpengaruh, sedangkan Pekerjaan Ayah relatif kurang signifikan. Temuan ini menegaskan potensi NB-PSO sebagai pendekatan prediktif untuk mendukung pengelolaan administrasi akademik yang lebih efektif.
Co-Authors Aprillia Aprillia Aprillia aprillia Aprillia, Aprillia Chaerul Bahri Chodidjah Chodidjah Dede Suleman Dhefine Armelsa Edhi Prayitno Endang Sri Andayani Eneng Iviq Hairo Rahayu Findi Ayu Sariasih Gampu, Seska Hambali Hambali Iwan Asmadi Iwan Asmadi Lilik Yuliawati Lilik Yuliawati Mety Titin Herawaty Muhammad Isa Rohimah, Luthfia Sinta Rukiastiandari Sutiarnoto Sutiarnoto Tarigan, Vita Cita Emia Zahra Zahra Zahra Zahra