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All Journal International Journal of Electrical and Computer Engineering Indonesia Medicus Veterinus TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Proceeding of the Electrical Engineering Computer Science and Informatics JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Elemen Indonesian Journal of Electrical Engineering and Computer Science JagoMIPA: Jurnal Pendidikan Matematika dan IPA Dharmas Education Journal (DE_Journal) Jurnal Nasional Teknik Elektro dan Teknologi Informasi MIMBAR INTEGRITAS
Akbar, Saiful
Data And Software Engineering Research Group School Of Electrical Engineering And Informatics, Institut Teknologi Bandung
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Veterinary Other

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HUBUNGAN PERAN ORANG TUA TERHADAP HASIL BELAJAR SISWA KELAS 3 PADA MATA PELAJARAN MATEMATIKA DI SDIT AL IRSYAD AL ISLAMIYAH DAWUHAN KECAMATAN SITUBONDO Akbar, Saiful; Efendi, Dodik
Dharmas Education Journal (DE_Journal) Vol 4 No 2 (2023): DE_Journal
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Univesitas Dharmas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56667/dejournal.v4i2.1053

Abstract

Role of parents and the learning outcomes of grade 3 students in the mathematics subject at SDIT Al Irsyad Al Islamiyah Dawuhan, Situbondo District. The purpose of this study was to explain the relationship between the role of parents and the learning outcomes of grade 3 students in Mathematics at SDIT Al Irsyad Al Islamiyah Dawuhan, Situbondo District. This research method is a type of quantitative descriptive research by drawing conclusions through statistical analysis. The population in this study were all 3rd grade students at SDIT Al Irsyad Al Islamiyah Dawuhan. Samples were taken as many as 16 students with random sampling technique. The necessary data is obtained through questionnaires and data on student learning outcomes. The data analysis technique used is product moment analysis. After conducting research and obtaining data, then analyzing the data from the questionnaire results and student learning outcomes, an rcount of 0.932 was obtained, while an rtable of 0.532 at N = 16 with a significant level of 5% means that rcount > rtable means that Ho is rejected and Ha is accepted. So it can be concluded that there is a significant relationship between the role of parents and the learning outcomes of grade 3 students in the mathematics subject of SDIT Al Irsyad Al Islamiyah Dawuhan, Situbondo District.
PERANCANGAN MESIN PEMILIHAN BUAH TOMAT MENGGUNAKAN MIKROKONTROLER BERBASIS TCS230 Basri, Muhammad Hasan; Akbar, Saiful
ELEMEN : JURNAL TEKNIK MESIN Vol. 12 No. 1 (2025)
Publisher : POLITALA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/je.v12i1.365

Abstract

This research is about post-harvest tomato selection where the TCS230 color sensor Will go through a way of assessing light intensity by emitting caused by super bright leds through objects, reading light intensity values ​​starting with an 8x8 photodiode matrix, on 64 photodiodes will be divided into 4 parts of color reading, on the color illuminated by the led reflected by the led light to the photodiode, the reflection of the light will be extended by a wave that changes depending on the color of the object being detected, the TCS230 color sensor can read several colors. A tomato will enter its place, the tomato may always stop right under the sensor so that the sensor will not be able to detect the presence of tomatoes that pass, and cannot read the RGB value of the tomatoes that pass. The results of 10 tests showed that selecting tomatoes successfully classified tomato grades, could control servo motors and DC motors automatically based on RGB values ​​through a processing time of about 3 seconds with an error rate of 2%.
Folk Games Image Captioning using Object Attention Akbar, Saiful; Sitohang, Benhard; Pardede, Jasman; Amal, Irfan; Yunastrian, Kurniandha; Ahmada, Marsa; Prameswari, Anindya
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 4 (2023): August 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i4.4708

Abstract

The result of a deep learning-based image captioning system with encoder-decoder framework relies heavily on the image feature extraction technique and the caption-based model. The accuracy of the model is heavily influenced by the proposed attention mechanism. The inability to distinguish between the output of the attention model and the input expectation of the decoder can cause the decoder to give incorrect results. In this paper, we proposed an object-attention mechanism using object detection. Object detection outputs a bounding box and an object category label, which is then used as an image input into VGG16 for feature extraction and into a caption-based LSTM model. The experimental results showed that the system with object attention performed better than the system without object attention. BLEU-1, BLEU-2, BLEU-3, BLEU-4, and CIDER scores for the image captioning system with object attention improved 12.48%, 17.39%, 24.06%, 36.37%, and 43.50% respectively compared to the system without object attention.
Pengembangan Permainan Math Bingo sebagai Media Evaluasi Capaian Pembelajaran di STKIP PGRI Situbondo Ambarsari, Ida Fitriana; Astindari, Tri; Hasanah, Nur; Akbar, Saiful; Romlah, Romlah
JagoMIPA: Jurnal Pendidikan Matematika dan IPA Vol. 5 No. 2 (2025): JagoMIPA: Jurnal Pendidikan Matematika dan IPA
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/jagomipa.v5i2.1463

Abstract

Penelitian ini dilaksanakan untuk mendeskripsikan pengembangan permainan Math Bingo sebagai media evaluasi capaian pembelajaran pada mata kuliah algoritma dan pemrograman. Penelitian ini dilaksanakan di STKIP PGRI Situbondo pada mahasiswa semester 2 program studi pendidikan matematika dengan 15 mahasiswa sebagai subjek penelitian. Jenis penelitian adalah penelitian kualitatif. Pada penelitian ini dideskripsikan pengembangan dan penerapan permainan Math Bingo sebagai upaya untuk mendeskripsikan teknik penilaian yang lain, selain tes tulis dan proyek. Lebih lanjut, pengumpulan data dilakukan untuk menganalisis respon mahasiswa terhadap pengembangan permainan dan hasil evaluasi capaian pembelajaran. Analisis evaluasi capaian pembelajaran di kelas dilakukan pada saat permainan dilaksanakan serta pada pengisian jawaban dari soal menggunakan Google Form. Data dikumpulkan menggunakan observasi dan kuesioner. Analisis data menggunakan teknik kualitatif. Berdasarkan hasil pengisian kuesioner dan hasil evaluasi capaian pembelajaran diketahui bahwa pelaksanaan pengembangan penerapan permainan Math Bingo, pelaksanaan permainan Math Bingo, mahasiswa yang memberikan respon baik, dan mahasiswa yang berhasil mencapai capaian pembelajaran yang dituju berturut-turut mencapai 95%, 100%, 70%, dan 80%. Jadi, penerapan pengembangan permainan Math Bingo dapat menjadi salah satu media yang efektif untuk mengevaluasi capaian pembelajaran, khususnya pada penelitian ini di STKIP PGRI Situbondo.
Storychart: A Character Interaction Chart for Visualizing the Activities Flow Abidin, Zainal; Munir, Rinaldi; Akbar, Saiful; Mandala, Rila; Widyantoro, Dwi H.
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1608

Abstract

Event-predicate-based storyline extraction results in a chronologically ordered activity journal. The extraction results contain complex human activities, so the activity journal requires a visualization model to describe actor interactions. This paper proposes a chart to visualize the activities' flow to describe the characters' interactions in an activity journal. This chart is called a storychart. Storycharts have an actor channel that can accept single entities or teams. The actor channel allows changing the type from single to a team or vice versa and moving members to other teams. The activity channel serves as a connector to accommodate interactions between actors. The activity channel provides a visual space for the elements of what, where, and when. Event predicates are the core of what. Therefore, the storychart visualizes the event predicate using glyphs to attract the reader’s attention. The main contribution of this paper is to introduce a team channel that can visualize the identity of team members and an activity channel that can visualize the details of events. We invited participants to discover the reader’s perception of the ease of team recognition and the integrity of the meaning of the narrative visualized by the storychart. Participants involved in the evaluation were filtered by literacy score. Evaluation of storychart reading showed that readers could easily distinguish teams from single actors, and storycharts could convey the story in the activity journal with little reduction in meaning.
PEMBERDAYAAN KELOMPOK PEMUDA BERKARYA MELALUI STUDI ETNOBOTANI DAN PENGEMBANGAN HASIL PANEN TANAMAN PISANG DI DESA PESANGGRAHAN KABUPATEN SITUBONDO Ikbal, Mohammad; Muhlis, Abdullah; Akbar, Saiful; Santoso, Santoso; Kurniawan, Arif; Aisa, Siti; Musthofa, Moch. Imam Vickry
MIMBAR INTEGRITAS : Jurnal Pengabdian Vol 4 No 2 (2025): AGUSTUS 2025
Publisher : Biro Administrasi dan Akademik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/mimbarintegritas.v4i2.6617

Abstract

Potensi lokal desa mencakup seluruh sumber daya alam, kebudayaan, serta sumber daya manusia yang terdapat di suatu desa, yang dapat dimanfaatkan dan dikembangkan guna meningkatkan kesejahteraan warga desa. Penelitian ini bertujuan untuk memberdayakan kelompok pemuda desa dalam mengidentifikasi pemanfaatan pisang secara tradisional, serta inovasi pengembangkan produk olahan pisang yang bernilai jual tinggi. Metode yang digunakan dibagi menjadi dua tahap yaitu koordinasi dan sosialisasi. Teknik pengumpulan data dilakukan dengan cara pemberian materi, wawancara dan dokumentasi. Teknik analisis data digunakan adalah identifikasi permasalahan, penentuan lokasi, serta penyusunan rencana kegiatan pengabdian. Pada tahap inovasi berbasis potensi lokal Inovasi produk dengan bahan baku pisang dikembangkan dengan berbagai variasi bentuk dan rasa yang menarik, sehingga memiliki peluang besar untuk bersaing di sektor industri makanan olahan. Pada tahap identifikasi pemanfaatan pisang secara tradisional yaitu dalam pemanfaatan bidang pangan dijadikan bentuk olahan, pisang sering diubah menjadi beragam makanan tradisional. Dalam bidang budaya buah pisang maupun bagian lain dari tanaman ini, seperti batang dan daun, kerap dijadikan bagian dari sesajen atau persembahan dalam konteks keagamaan. Adapun pemanfaatan dalam bidang pertanian Budidaya pisang juga berkontribusi dalam konservasi lahan pertanian karena sistem perakarannya mampu mencegah erosi tanah. Pada tahap mengembangkan produk olahan pisang yang bernilai jual tinggi adalah pembuatan aneka produk olahan baru dari buah pisang yang dapat dikembangkan antara lain keripik pisang, sale pisang, bolen pisang, bolu pisang, dll.
Prediksi Arus Lalu Lintas Kendaraan Menggunakan Framework Spatio-Temporal Graph Neural Networks Hafizhan, Naufal Dzaki; Akbar, Saiful
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 1: Februari 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025126

Abstract

Sistem transportasi cerdas dapat diterapkan dengan salah satu bagiannya yaitu model prediksi lalu lintas untuk mengoptimalkan arus kendaraan sehingga dapat mengurangi kemacetan. Di sisi lain, telah banyak penelitian-penelitian sebelumnya yang berfokus pada pembangunan model prediksi lalu lintas menggunakan metode gabungan yang mempelajari fitur spasial dan temporal secara serentak melalui pendekatan model berbasis graf sedangkan penelitian di Indonesia masih menggunakan metode pembelajaran mesin sederhana. Oleh karena itu, dibangun model prediksi arus lalu lintas dengan dataset yang telah diimputasi oleh model prediktif Graph Imputation Neural Network (GINN) menggunakan framework Spatio-Temporal Graph Neural Network (STGNN). Model yang diusulkan terdiri dari dilated spatio-temporal synchronous graph convolutional module dan dilated temporal convolutional networks untuk menangkap dinamika spasial-temporal baik secara global dan lokal maupun jangka pendek dan jangka panjang, serta dynamic graph learning untuk mempelajari karakteristik dinamis spatial-temporal secara lokal. Graf dinamis yang dihasilkan dapat menyesuaikan pola data lalu lintas dengan baik serta meningkatkan kinerja hasil prediksi. Eksperimen yang dilakukan pada tiga dataset yang telah dibangun dan satu real-world dataset membuktikan bahwa model yang diusulkan dapat melampaui kinerja model state-of-the-art dan metode imputasi yang menggunakan model prediktif mampu meningkatkan kinerja model.   Abstract Intelligent transportation systems can be implemented with one of their components, namely traffic prediction models, to optimize vehicle flow and reduce congestion. On the other hand, many previous studies have focused on developing traffic prediction models using a combined method that simultaneously studies spatial and temporal features through a graph-based model approach, while research in Indonesia still uses simple machine learning methods. Therefore, a traffic flow prediction model was developed using a dataset that had been imputed by Graph Imputation Neural Network (GINN) predictive model using Spatio-Temporal Graph Neural Network (STGNN) framework. The proposed model consists of a dilated spatio-temporal synchronous graph convolutional module and dilated temporal convolutional networks to capture spatio-temporal dynamics both globally and locally as well as in the short and long term, as well as dynamic graph learning to learn local spatio-temporal dynamic characteristics. The resulting dynamic graph can adapt traffic data patterns well and improve prediction performance. Experiments conducted on three constructed datasets and one real-world dataset prove that the proposed model can surpass the performance of state-of-the-art models and that imputation methods using predictive models can improve model performance.
Co-Authors Abdullah Muhlis Ahmada, Marsa aisa, Siti Amal, Irfan Ambarsari, Ida Fitriana ARIF KURNIAWAN Arifiansyah, Fitra Arlette Suzy Puspa Pertiwi Astindari, Tri Benhard Sitohang Benhard Sitohang Dwi H. Widyantoro Efendi, Dodik Fitra Arifiansyah Hafizhan, Naufal Dzaki Hery Heryanto Ida Bagus Kade Suardana Ida Bagus Komang Ardana Ikbal, Mohammad Inne Gartina Husein Jasman Pardede Kurniandha Sukma Yunastrian Muhammad Hasan Basri Mulyasari, Dinda Musthofa, Moch. Imam Vickry Noer Fadilah, Rina Putri Nur Hasanah Nurul Avidhah Elhany Prameswari, Anindya Prawita Rani, Dewi Eka Qomariyah, Rofi’atul Rasmi Rikmasari Rila Mandala Rinaldi Munir Rofek, Aenor Romlah Santi, Risan Nur Santoso Santoso Suhono Harso Supangkat Susetyo Bagas Bhaskoro Susetyo Bagas Bhaskoro Thoifur Ibnu Fajar, Muhammad Untari, Wiwik Sri Yunastrian, Kurniandha Yunastrian, Kurniandha Sukma Zainal Abidin