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PENERAPAN PENDEKATAN BERMAIN MEMODIFIKASI ALAT BANTU PEMBELAJARAN UNTUK MENINGKATKAN HASIL BELAJAR Tri Sutrisno
Jurnal Dikdas Bantara Vol 1, No 1 (2018)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jdb.v1i1.72

Abstract

Penelitian ini bertujuan untuk mengetahui hasil belajar siswa dalam penerapan pendekatan bermain dengan modifikasi alat bantu pembelajaran terhadap peningkatan hasil belajar servis bawah bola voli mini pada siswa kelas VI Sekolah Dasar Negeri 3 Sidorejo Sukoharjo tahun pelajaran 2017/2018. Metode penelitian tindakan kelas yang digunakan adalah metode deskriptif kualitatif. Sampel yang digunakan dalam penelitian ini adalah siswa kelas VI Sekolah Dasar Negeri 3 Sidorejo Sukoharjo tahun pelajaran 2017/2018 yang berjumlah 47 siswa. Data hasil belajar servis bawah bola voli mini diperoleh melalui tes unjuk kerja, lembar observasi digunakan untuk mengumpulkan data kegiatan siswa di dalam mengikuti proses pembelajaran teknik dasar servis bawah bola voli mini melalui penerapan pendekatan bermain. Hasil penelitian ini dapat disimpulkan sebagai berikut: bahwa hasil keterampilan servis bawah bola voli mini meningkat dari 31,9  % pada kondisi awal menjadi 51,06  % pada akhir siklus I dan meningkat menjadi 70,2 % pada akhir siklus II. Sedangkan kemampuan siswa dalam melakukan rangkaian gerakan servis bawah bola voli mini meningkat  dari 29,7 % pada kondisi awal menjadi 51,06 % pada akhir siklus I dan meningkat menjadi 70,2 % pada akhir siklus II. Berdasarkan hasil penelitian diperoleh kesimpulan bahwa penerapan pendekatan bermain dapat meningkatkan hasil belajar servis bawah bola voli mini siswa kelas VI Sekolah Dasar Negeri 3 Sidorejo Sukoharjo tahun pelajaran 2017/2018. Kata kunci : Pendekatan bermain, Alat bantu, Hasil belajar, Bola Voli.
PEMBELAJARAN BERMAIN MELALUI RANGSANGAN TINGGI DAN JARAK DITINJAU DARI KECEPATAN Tri Sutrisno
Jurnal Dikdas Bantara Vol 2, No 1 (2019)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jdb.v2i1.186

Abstract

Tujuan penelitian ini untuk mengetahui: (1) Perbedaan pengaruh pembelajaran lompat jauh menggunakan alat bantu tali dan lingkaran sebagai rangsangan tinggi dan jarak secara bertahap terhadap hasil belajar lompat jauh gaya jongkok pada siswa putra kelas IV dan V SD Negeri 3 Sidorejo Bendosari Sukoharjo tahun pelajaran 2018/2019. (2) Perbedaan pengaruh kecepatan tinggi dan rendah terhadap hasil belajar lompat jauh gaya jongkok pada siswa putra kelas IV dan V SD Negeri 3 Sidorejo Bendosari Sukoharjo tahun pelajaran 2018/2019. (3) Ada tidaknya interaksi antara penggunaan alat bantu dan kecepatan terhadap hasil belajar lompat jauh gaya jongkok pada siswa putra kelas IV dan V SD Negeri 1 Kedungrejo Nguntoronadi Wonogiri tahun pelajaran 2008/2009. Penelitian ini menggunakan metode eksperimen. Populasi penelitian ini adalah siswa putra kelas IV dan V SD Negeri 3 Sidorejo Bendosari Sukoharjo tahun pelajaran 2018/2019 berjumlah 20 orang. Dalam penelitian ini dilakukan penelitian populasi. Sampel yang digunakan adalah 10 siswa kategori kecepatan lari tinggi dan 10 siswa kategori kecepatan lari rendah. Teknik pengumpulan data dengan tes dan pengukuran. Data yang dikumpulkan yaitu kecepatan lari dengan lari 40 m, dan kemampuan lompat jauh gaya jongkok. Teknik analisis data yang digunakan adalah ANAVA 2 X 2 dan uji Newman Keuls. Berdasarkan hasil penelitian diperoleh simpulan sebagai berikut: (1) Ada perbedaan pengaruh yang signifikan antara pembelajaran lompat jauh menggunakan alat bantu tali dan lingkaran sebagai rangsangan tiggi dan jarak bertahap terhadap hasil belajar lompat jauh gaya jongkok pada siswa putra kelas IV dan V SD Negeri 3 Sidorejo Bendosari Sukoharjo tahun pelajaran 2018/2019. (2) Ada perbedaan yang signifikan antara siswa kecepatan lari tinggi dan kecepatan lari rendah terhadap hasil belajar lompat jauh gaya jongkok pada siswa putra kelas IV dan V SD Negeri 3 Sidorejo Bendosari Sukoharjo tahun pelajaran 2018/2019. (3) Ada interaksi antara penggunaan alat bantu dan kecepatan terhadap hasil belajar lompat jauh gaya jongkok pada siswa putra kelas IV dan V SD Negeri 3 Sidorejo Bendosari Sukoharjo tahun pelajaran 2018/2019.Kata Kunci : alat bantu, kecepatan, lompat jauh
Implementasi Kurikulum 2013 Kelas V Sekolah Dasar Negeri Jombor 01 Para Mitta Purbosari; Koko Prasetyo; Tri Sutrisno
Jurnal Dikdas Bantara Vol 1, No 2 (2018)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jdb.v1i2.140

Abstract

Tujuan penelitian ini adalah untuk mengetahui proses implementasi Kurikulum 2013 kelas V di SDN Jombor 01 Bendosari dilihat dari proses perencanaan, pelaksanaan, penilaian hasil belajar, dan hambatan yang dihadapi guru dalam mengimplementasikan Kurikulum 2013 kelas V di SDN Jombor 01 Bendosari. Penelitian ini menggunakan pendekatan kualitatif yang mengungkapkan makna konseptual dan asosiatif apa adanya. Sumber data penelitian ini diperoleh melalui data primer yang didapat dari hasil wawancara dengan guru kelas VB untuk mengetahui implementasi Kurikulum 2013, sedangkan untuk data sekunder meliputi dokumen-dokumen yang berupa berita atau dokumen lain yang berkaitan dengan pelaksanaan dan hambatan dalam implementasi Kurikulum 2013, serta catatan hasil observasi yang dilakukan. Prosedur pengumpulan data meliputi : teknik wawancara, observasi dan dokumentasi. Prosedur analisis data dalam penelitian ini adalah: Reduksi data, penyajian data, dan verifikasi/ menarikan kesimpulan. Hasil penelitian dapat disimpulkan bahwa Implementasi Kurikulum 2013 dalam kegiatan perencanaan pembelajaran yang dilakukan guru adalah mengkaji silabus, mengkaji buku guru, menyusun RPP dengan menjabarkan langkah kegiatan pembelajaran. Sedangkan dalam pelaksanaan pembelajaran guru menggunakan pendekatan saintifik sesuai dengan Kurikulum 2013 yang meliputi kegiatan mengamati, menanya, mengumpulkan informasi/ mencoba, mengasosiasikan/ menalar, dan mengkomunikasikan (5M). Kegiatan penilaian pembelajaran guru, menggunakan penilaian autentik untuk menilai kompetensi sikap, kompetensi pengetahuan, dan kompetensi keterampilan. Serta hambatan yang dihadapi guru dalam kegiatan perencanaan pembelajaran yaitu dari kondisi siswa sendiri, hambatan saat kegiatan pelaksanaan pembelajaran adalah kurang tersedianya sarana dan prasarana seperti sumber belajar (buku guru dan buku siswa) dan hambatan dalam penilaian pembelajaran adalah guru membutuhkan waktu yang lama untuk melakukan penilaian. Kata kunci : Implementasi, Kurikulum 2013
Analisis Penutupan Kartu Kredit Menggunakan Metode Analytical Hierarchy Process dan Preference Ranking Organization Methode for Enrichment Evaluation Gerry Geraldicky; Viny Christanti Mawardi; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1775.255 KB) | DOI: 10.24912/jiksi.v9i1.11565

Abstract

The rapid development in Indonesia is information technology. Today's computer technology can collaborate with other fields of science. One of them is a Computer Based Decision Support System (DSS). Decision Support System (DSS) is a system that is useful for increasing effectiveness in terms of decision making. A credit card is a payment instrument in the form of a card that has a credit facility to the owner in lieu of cash payment, where at maturity it can be paid with the minimum payment amount and the rest is used as credit. In applying for credit card closure, it can be combined with a decision support system. The decision support system for this case uses the Analytical Hierarchy Process (AHP) method and the Preference Ranking Organization Methods for Enrichment Evaluations (Promethee). The Analytic Hierarchy Process (AHP) method has proven its reliability in weighting the criteria value and the Preference Ranking Organization Methods for Enrichment Evaluations (Promethee) is used to rank the alternatives provided. Establishing this decision support system will produce fast and accurate recommendations to credit card management on this issue.
Klasifikasi Profesi Berdasarkan Hobi Dengan Metode Minimum Spanning Tree Leonardo Josua; Dyah Erny Herwindiati; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1308.855 KB) | DOI: 10.24912/jiksi.v9i1.11587

Abstract

Application to classify the hobbies of final year students in determining their profession with the Minimum Spanning Tree is a method for classification. Tests carried out are to collect weighted data on hobbies obtained from users and later will be grouped based on the specified assessment table. There are 2 programming languages used to create this application, namely PHP and Python. PHP for user interface and python for calculations. Based on the tests carried out, it can be seen that the results of clustering testing of 21 sample data values for hobbies given by users who will be in the 7th cluster of intellectual intelligence can be concluded that the results of the cluster distance value are determined by referring to the 14 iterations carried out. After calculating the distance from each centroid, the cluster determination is carried out using the Minimum Spanning Tree which is represented by a graph, where the data points or vertices are taken from the minimum cluster distance in each iteration. Determination of clusters with the Minimum Spanning Tree is represented by a graph.
ANALISIS KEPUASAN PENGGUNAAN APLIKASI SHOPEE MENGGUNAKAN ALGORITMA NAÏVE BAYES Gabriel Carvenita Triasis; Desi Arisandi; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v10i1.17857

Abstract

The Covid-19 pandemic that attacks the world's health conditions, including Indonesia, greatly affects daily life. The impacts include the need to maintain distance and avoid crowds, which forces people to reduce interactions between people. Therefore, people need other ways to be able to meet their daily needs. One alternative that can be done is to use e-commerce applications to conduct online transactions or also known as online shopping. It was reported on September 30, 2021 that shopee occupies the most superior e-commerce in Indonesia with the number of monthly visitors which currently reaches 93 million subscribers, followed by Tokopedia with 86 million subscribers and in third place with 35 million customers occupied by Bukalapak. Therefore, an analysis of satisfaction with the use of e-commerce applications with the Shopee case study will be carried out to determine the response from users to the applications that are declared the most desirable. The application will be made based on a website to make it easier to use and use the Naïve Bayes algorithm as the analysis method. The Naïve Bayes algorithm is one method that can classify data which in this case are comments from application users into three types of comments, namely positive, negative and neutral. The process that is run also includes a preprocessing task as raw data processing into ready-to-use data and a confusion matrix as a calculation of the accuracy of the resulting application. Testing of the application is carried out in two ways, namely using a confusion matrix using a system with 80% results and a user acceptance test with 94.8% results, namely very good predicate. From the analysis, it can be concluded that Shopee users are satisfied with the application used and the classification of user reviews using the Naïve Bayes Algorithm produces a fairly good accuracy.
PENERAPAN ALGORITMA C4.5 UNTUK PENERIMAAN KELAYAKAN KREDIT PADA KOPERASI (STUDI KASUS:KOPERASI XYZ) Kelvin Kelvin; Bagus Mulyawan; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 1 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (205.326 KB) | DOI: 10.24912/jiksi.v8i1.11478

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In this developing era, competent human resources are still needed. Therefore, human resources is one of the factor in determining the successful implementation of organizations and companies. Despite having facilities and infrastructure as well as human resources with expected performance, the activities cannot be completed as they should. Based on this, a company, organization and cooperative must be able to manage existing human resources so that they can be obtained as needed.C4.5 algorithm is a group of decision tree algorithms that have input in the form of training samples and samples. Training samples are sample data that is used to build a tree that has been tested for correctness. While samples are data fields which will be used as parameters in classifying data. C4.5 algorithm aims to reduce and minimize errors in the provision of credit worthiness in cooperatives to the wider community.In this process we need an algorithm that is used to manage credit worthiness in cooperatives in order to facilitate the credit worthiness process. With this algorithm C4.5, it can be easier for admin to assess creditworthiness quickly and accurately.
PERANCANGAN SISTEM PENJUALAN DAN PREDIKSI PERSEDIAAN STOK BARANG MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING BERBASIS WEB PADA TOKO DY COMPUTER Deza Farras Tsany; Bagus Mulyawan; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 2 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (307.188 KB) | DOI: 10.24912/jiksi.v6i2.2630

Abstract

Lack of media promotion at DY Computer and difficulty in detemining the stock of goods in the next period, then designed the system of sale an stock estimates of goods using double exponential smoothing based on web in DY Computer. Through web application is expected to be media promotion, to minimize human error, and to make it easier for determining the stock of goods in the next period. Input data used to prediction is product sales data and output data in the form of prediction in the next period. Data predictions is used should not less than 3 (three) month, to maintain the consistent data in prediction stock of goods. The evaluation result of this design is shown in the value of Mean Absolute Error (MAE) and Mean Square Error (MSE). The Minimum MAE 0,7964 and the highest MAE 27,771.
SISTEM REKOMENDASI TRAVEL UMRAH DI JAKARTA BERBASIS WEB DENGAN METODE ANALYTICAL HIERARCHY PROCESS DAN SIMPLE ADDITIVE WEIGHTING Diri Anindyah Qonita Dwi Putri; Bagus Mulyawan; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 2 (2019): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (200.851 KB) | DOI: 10.24912/jiksi.v7i2.7370

Abstract

The Umrah travel recommendation system is an application made using the Analytical Hierarchy Process (AHP) method and the Simple Additive Weighting (SAW) method. This application will provide recommendations for Umrah travel, first with the AHP method. The AHP method performs pairwise comparisons using the paired comparison scale determined by Saaty, which will then produce priority weight per criterion to be used in the process of calculating preference values in the SAW method ranking, the results of priority weights obtained are price, down-payment, distance, facilities, the number of pilgrims and travel packages is 0.304, 0.304, 0.202, 0.087, 0.072, 0.032. In the SAW method was chosen in determining the ranking of Umrah travel data with predetermined criteria. Tests were carried out using 50 Umrah travel data in Jakarta obtained online. The results can be concluded that Al-Razafa is the first choice with SAW 0.931.
IMPLEMENTASI APLIKASI JUAL BELI MOBIL BEKAS DENGAN METODE ANALYTICAL HIERARCHY PROCESS DAN NAIVE BAYES Widi Santoso; Viny Christanti Mawardi; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (658.34 KB) | DOI: 10.24912/jiksi.v9i1.11597

Abstract

One area of life that is affected by the rapid development and advancement of technology is the automotive sector. Information technology bridges various groups who participate in automotive transaction activities. Therefore, the physical condition and performance of an automotive are determining factors for a buyer who wants to make a purchase.Not all types of automotive offered meet the buyers' standards, nor do they have a selling price in accordance with the quality described by the seller. The Analytical Hierarchy Process (AHP) method helps determine the type of automotive that suits the buyers' wishes and the Naïve Bayes method helps determine the selling price according to the quality of the automotive offered.The Analytical Hierarchy Process (AHP) method is a decision support model that describes a complex multi-factor or multi-criteria problem into a hierarchy, which in turn can organize complex problems into a more orderly and systematic manner. The Naïve Bayes method is a classification using probability and statistical methods that predict future opportunities based on past experiences. Naïve Bayes calculates a set of probabilities by adding up the frequency and value combinations from the given dataset. Based on the comparison of the calculation results with the tests carried out, the AHP method obtains an accuracy rate of 100% in displaying the criteria for cars being sold. Meanwhile, the Naïve Bayes method obtains an accuracy rate of 100% in determining whether a dealer is interested in buying a car or not.