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PELATIHAN MATERI LOGIKA MATEMATIKA DAN INFORMATIKA BAGI PESERTA OSN SISWA SMA NEGERI 11 PURWOREJO Latifah, Ummu Wachidatul; Ariyanto, Catur; Bahri, Saiful; Dewantara, Rizki; Siswanto, Irwan
Intimas Vol 4 No 2 (2024)
Publisher : Fakultas Teknologi Informasi dan Industri Unisbank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/intimas.v4i2.9875

Abstract

Abstract The National Science Olympiad (OSN) is one of the competing events in the field of science at the elementary, junior and senior high school levels. The implementation of OSN does not only rely on students, but involves school contributions. SMA Negeri 11 Purworejo participates in several OSN fields, one of which is Informatics. OSN in Informatics includes Mathematical Logic material and the preparation of coding scripts based on Programming Algorithms. Training and debriefing of OSN materials is less than optimal due to the busyness of teachers. Based on these problems, a team of lecturers from the Bhakti Putra Bangsa Indonesia Institute of Business Technology and Health conducted coaching and debriefing for students participating in the Informatics OSN at SMA Negeri 11 Purworejo. Debriefing and deepening the material carried out by lecturers is one of the Community Service (PkM). The purpose of this service is to improve the competence of students participating in OSN Informatics so that they can better understand the material and strategies for solving OSN questions. The method in implementing OSN Informatics coaching consists of three stages, namely the first stage of needs analysis, the second stage of implementation and the third stage of evaluation. Based on observations during the coaching process, the results showed an increase in students' abilities. This can be seen from the students' ability to analyze and solve problems. The results can be seen from one of the students who passed the OSN Informatics at the Regency level and continued to the Provincial level. However, at this evaluation stage, some shortcomings were found so there needs to be an action plan for the next year's OSN preparation.Abstrak Olimpiade Sains Nasional (OSN) merupakan salah satu ajang berkompetensi di bidang sains tingkat SD, SMP dan SMA. Pelaksanaan OSN tidak hanya bertumpu pada siswa, namun melibatkan konstirbusi sekolah. SMA Negeri 11 Purworejo mengikuti beberapa bidang OSN, salah satunya Informatika. OSN bidang Informatika meliputi materi Logika Matematika dan penyusunan script koding yang berdasarkan oleh Algoritma Pemrograman. Pelatihan dan pembekalan materi OSN kurang maksimal karena kesibukan guru. Berdasarkan permasalahan tersebut, maka dilakukan pembinaan dan pembekalan materi pada siswa peserta OSN Informatika di SMA Negeri 11 Purworejo oleh tim dosen Institut Teknologi Bisnis dan Kesehatan Bhakti Putra Bangsa Indonesia. Pembekalan dan pendalaman materi yang dilakukan oleh dosen merupakan salah satu Pengabdian Kepada Masyarakat (PkM). Tujuan pengabdian ini untuk meningkatkan kompetensi siswa peserta OSN Informatika sehingga dapat lebih memahami materi dan strategi penyelesaian soal OSN. Metode dalam pelaksanaan pembinaan OSN Informatika terdiri dari tiga tahapan, yaitu tahap pertama analisis kebutuhan, tahap kedua pelaksanaan dan tahap ketiga evaluasi. Berdasarkan hasil pengamatan selama proses pembinaan, diperoleh hasil adanya peningkatan kemampuan siswa. Hal tersebut dapat terlihat dari kemampuan siswa dalam menganalisis dan menyelesaikan masalah. Hasil tersebut dapat terlihat ada salah satu siswa yang lolos OSN Informatika tingkat Kabupaten dan melanjutkan ke tingkat Provinsi. Namun, pada tahap evaluasi ini ditemukan beberapa kekurangan sehingga perlu ada rencana tindak lanjut untuk persiapan OSN tahun berikutnya.
ANALISIS PENGARUH CONTRACT CHANGE ORDER (CCO) PADA PROYEK PEMBANGUNAN DRAINASE Zebua, Dermawan; Siswanto, Irwan
Jurnal Penelitian Jalan dan Jembatan Vol 3, No 2 (2023): Jurnal Penelitian Jalan dan Jembatan
Publisher : Unit Penelitian dan Pengabdian Kepada Masyarakat (UP2M) Politeknik Seruyan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59900/ptrkjj.v3i2.167

Abstract

Proyek konstruksi merupakan suatu rangkaian kegiatan yang hanya satu kali dilaksanakan dan umumnya berjangka pendek. Pelaksanaan proyek dihadapkan pada permasalahan diantaranya Contract Change Order (CCO) yang akan menghasilkan amandemen kontrak. CCO juga terjadi pada Proyek Pembangunan Drainase A. Penelitian ini bertujuan untuk menganilisis pengaruh CCO terhadap Rencana Anggaran Biaya dan waktu pelaksanaan proyek pada pembangunan drainase A di Kabupaten Seruyan di Kecamatan Hanau dengan metode deskriptif kuantitatif. Rencana anggaran biaya kontrak dan data time schedule merupakan jenis data yang digunakan dalam penelitian ini. Adapun dampak dari CCO ini adalah pada RAB yang mengakibatkan harus terjadinya pengurangan item pekerjaan yang semula RAB Rp. 99.800.000 (sudah termasuk PPN 10%) berubah menjadi Rp. 85.000.000, (sudah termasuk PPN 10%), sedangkan terhadap realiasasi perencanaan dilapangan CCO ini tidak berdampak.
Twitter Sentiment Analysis on Digital Payment in Indonesia Using Artificial Neural Network Febriani, Siska; wati, Vera; Wijayanti, Yuli; Siswanto, Irwan
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.8988

Abstract

In the rapid development of technology, the need for big data processing is increasingly important, especially in the context of digital transactions such as e- wallets in Indonesia. On the other hand, sentiment analysis of digital payment platforms via Twitter requires fast and accurate data processing, but often faces challenges in managing big data and optimal classification quality. This study uses the Term TF-IDF method for text preprocessing and Artificial Neural Network (ANN) for sentiment classification. The preprocessing process includes case folding, removing numbers and punctuation, tokenization, filtering, and stemming. For classification, ANN is used which is optimized with the Backpropagation and K-fold Cross Validation algorithms to improve the accuracy of the model in grouping positive and negative sentiments from tweets about digital payment platforms. Through this approach, the study produces a sentiment classification model in analyzing big data. The results in this study are Gopay gets a positive value and gets the first value in sentiment assessment with an accuracy rate of 72% using ANN. Of the 5 digital payments that received a negative value and ranked last, namely Link Aja with an achievement rate of 43%. Based on these results, it shows that this approach contributes to identifying consumer sentiment towards e-wallet platforms, which is useful for developing digital marketing strategies. The contribution given is in improving sentiment analysis of digital payment platforms by utilizing Big Data processing technology and machine learning, so that it can be used to improve services and marketing strategies based on user data.