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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Penelitian dan Penilaian Pendidikan Indonesian Journal of Electrical Engineering and Computer Science
Anggaini, Dwi
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Computer Science & IT Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Other

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Pengaruh Evaluasi Tes Formatif Terhadap Hasil Belajar Matematika Ditinjau Dari Tingkat Kemandirian Belajar Anggaini, Dwi
Jurnal Penelitian dan Penilaian Pendidikan Vol 1 No 1 (2016)
Publisher : Sekolah Pascasarjana Universitas Muhammadiyah Prof. DR. Hamka bekerjasama dengan Himpunan Evaluasi Pendidikan Indonesia (HEPI).

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (367.119 KB)

Abstract

Penelitian bertujuan untuk menganalisa pengaruh tes formatif terhadap hasil belajar matematika ditinjau dari kemandirian belajar siswa. Penelitian menggunakan metode quasi-eksperimen, dengan teknik analisis ANAVA dua jalur. Hasil penelitian menunjukan: 1). Hasil belajar matematika siswa yang diberi tes formatif uraian lebih tinggi dari pada pilihan ganda. 2). Terdapat interaksi antara tes formatif dengan kemandirian belajar terhadap hasil belajar matematika siswa. 3). Pada siswa yang memiliki kemandirian belajar tinggi, hasil belajar matematika siswa yang diberi tes formatif uraian lebih tinggi daripada pilihan ganda. 4). Pada siswa yang memiliki kemandirian belajar rendah, hasil belajar matematika siswa yang diberi tes formatif uraian lebih rendah daripada pilihan ganda. Kesimpulan, guru sebagai pelaku pendidikan dalam menerapkan bentuk tes yang mampu menghasilkan pemahaman tingkat tinggi dan dapat menanamkan konsep matematika yang sangat kuat dalam diri siswa. Implikasinya, kemampuan merancang dan menggunakan bentuk tes yang tepat, akan meningkatkan hasil belajar matematika siswa.
Sectoral electricity micro-spatial load forecasting based on partitional clustering technique Senen, Adri; Jamani Jamian, Jasrul; Satya Dini, Hasna; Supriyanto, Eko; Anggaini, Dwi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp3533-3544

Abstract

Load demand forecasting is crucial in energy supply planning due to economic progress and territorial expansion, where land utilization transforms dynamically. An accurate sectoral load prediction can preclude the loss of beneficial opportunities arising from excessive load demand or excessive investment at a low-growth juncture. However, the particular area in this sectoral approach is still relatively large, rendering it incapable of precisely projecting load at minor points (micro-spatial). This study has proposed a micro-spatial load prediction strategy that categorizes identified areas into smaller grids or districts. This procedure includes clustering similar sites together for improved accuracy. K-Means is one of the partitional clustering approaches, a clustering algorithm utilizing object-based centroid-based partitioning approaches. The algorithm determines a cluster's centroid or centre as the average point for the cluster. This technique is advantageous as it can process extensive data efficiently and is appropriate for circular data. This technique can divide the data into multiple partitions, ensuring that each object belongs to precisely one cluster. Subsequently, mathematical modelling is used to predict the load of each cluster, which can then be utilized to more accurately evaluate the positions and sizes of prospective substations, transmission, and distribution facilities.
Penentuan Kriteria Kapasitas Transformator Berdasarkan Proyeksi Kebutuhan Energi secara Mikrospasial SENEN, ADRI; DINI, HASNA SATYA; ANGGAINI, DWI; PUTERA, PERDANA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 1: Published January 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i1.200

Abstract

ABSTRAKProyeksi energi memiliki peran penting dalam perencanaan pengembangan sistem distribusi listrik. Penelitian ini bertujuan untuk menentukan lokasi, jumlah dan penambahan kapasitas transformator yang diperlukan di area jaringan Tangerang. Metode prakiraan proyeksi energi dilakukan secara mikrospasial dengan membagi area layananan dalam bentuk grid – grid yang kecil (kelurahan). Selanjutnya pengelompokan (clustering) dilakukan berdasar karakteristik geografis, demografi, ekonomi dan kelistrikan wilayah untuk memperkirakan kerapatan beban. Hasil clustering yang terdiri dari 100 kelurahan, terkelompok menjadi 5 cluster dengan pertumbuhan beban per cluster rata-rata sebesar 8,4 %. Hasil perhitungan kapasitas transformator untuk wilayah Tangerang untuk 10 tahun adalah 250 kVA, 630 kVA, 1000 kVA dan 1250 kVA, dengan asumsi pembebanan transformator maksimal 80 %. Disamping itu prakiraan beban pada tingkatan transformator distribusi mengalami penambahan 3.064 unit gardu distribusi.Kata kunci: Prakiraan Beban, Transformator , Micro-spatial, Cluster, Tangerang ABSTRACTEnergy projection has important role in the planning of electricity distribution systems development. This study set out to investigate location, number and capacity of the transformers in Tangerang network area. A microspatial energy projection forecasting method was used by dividing the service area into small grids. Furthermore, clustering is carried out based on geographical, demographic, economic and electrical characteristics of the region to predict the load density. The clustering results consist of 100 grids grouped into 5 clusters with an average load growth 8.4% per cluster. As the result, the transformers capacity for the Tangerang area for the next 10 years are 250 kVA, 630 kVA, 1000 kVA and 1250 kVA, with the assumption that the maximum transformer loading is 80%. In addition, the estimated load at the distribution transformer level has an additional 3,064 distribution substations.Keywords: Load Forecasting, Transformer, Micro-spatial, Cluster, Tangerang
Grid impact analysis on wind power plant interconnection in strengthening electricity systems Senen, Adri; Kurniawan, Arif; Dini, Hasna Satya; Anggaini, Dwi
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 1: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i1.pp32-41

Abstract

The Timor system is one of the large systems in the East Nusa Tenggara region. Based on the general plan for electricity supply for 2021-2030, there is a plan to interconnect a 2x11 MW wind power plant. The addition of wind power plants will pose a considerable threat to the system due to the intermittency nature of renewable energy plants. Therefore, a comprehensive grid impact study is needed to convince network managers that adding wind farms will not cause disruptions to the system either locally or in general and is expected to strengthen the electricity system. The power flow simulation results, installing a 2x11 MW wind farm on the Timor system can improve voltage quality and reduce losses on both 70 and 150 kV systems. For transient stability, the frequency value on the Timor system still meets the grid code requirements. In addition, the simulation results of the intermittency impact of the wind power plant output show that the Timor system is still in a stable condition. The stability of the rotor angle of the existing power plant when the transient stability simulation is carried out shows that it is still in a balanced condition.
Co-Authors Adri Senen ARIF KURNIAWAN Dini, Hasna Satya Eko Supriyanto Jamani Jamian, Jasrul Perdana Putera, Perdana Satya Dini, Hasna