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Apriyanto, Apriyanto
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Model Generalized Space Time Autoregressive with Variable Exogenous (GSTARX) Dalam Meramalkan Data Inflasi di Sulawesi Selatan Khadijah, Khadijah; Hikmah, Hikmah; Fardinah, Fardinah; Apriyanto, Apriyanto; Nurhidayah, Nurhidayah; Lestari, Sri Dian
Journal of Mathematics: Theory and Applications Vol 6 No 1 (2024): Volume 6, Nomor 1, 2024
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jomta.v6i1.2999

Abstract

Inflasi merupakan salah satu parameter untuk mengukur kestabilan perekonomian di Indonesia. Menjaga stabilitas perekonomian dapat dilakukan dengan mengendalikan laju inflasi. Pengendalian laju inflasi, selain melalui kebijakan yang ditetapkan pemerintah juga dapat dilakukan dengan meramalkan inflasi untuk periode selanjutnya. Peran serta setiap wilayah di Indonesia sangat diperlukan, termasuk Provinsi Sulawesi Selatan yang memiliki 5 kota Indeks Harga Konsumen (IHK) yakni Kota Bulukumba, Watampone, Makassar, Parepare dan Palopo. Inflasi merupakan data deret waktu bulanan yang diduga dipengaruhi oleh aspek antar lokasi dan variabel eksogen. Peramalan inflasi yang melibatkan efek waktu, lokasi dan variabel eksogen dapat menggunakan Generalized Space Time Autoregressive with Exogenous Variable (GSTARX). Penelitian ini, meramalkan inflasi 5 kota di Sulawesi Selatan menggunakan GSTARX dengan variabel eksogen yaitu IHK serta pembobot lokasi yang digunakan adalah bobot seragam dan invers jarak. Penelitian ini bertujuan untuk mendapatkan model peramalan yang sesuai dan mengetahui hasil peramalan inflasi pada 5 kota di Sulawesi Selatan. Hasil penelitian menunjukkan bahwa model GSTARX adalah model yang cocok dan hasil peramalan inflasi 5 kota di Sulawesi Selatan menunjukkan bahwa pembobot invers jarak memiliki akurasi yang lebih baik karena nilai rata-rata RMSE bobot invers jarak lebih kecil dibanding bobot seragam. Akan tetapi, terdapat selisih yang cukup besar antara hasil peramalan dengan data out-sample (aktual). Efek spasial secara menyeluruh belum mampu dijelaskan oleh kedua bobot yang digunakan menjadi penyebabnya.
APLIKASI PEMBELAJARAN AKSARA LONTARA BUGIS BERBASIS ANDROID PADA SDN 152 CENNING DI DESA SALOBONGKO KECAMATAN MALANGKE BARAT Rismayanti, Rismayanti; Apriyanto, Apriyanto; Suppa, Rinto
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6075

Abstract

Abstark. Aksara Lontara Bugis merupakan salah satu warisan budaya Indonesia yang perlu dilestarikan, terutama di kalangan generasi muda. Namun pembelajaran aksara ini di tingkat sekolah dasar masih menghadapi kendala, seperti kurangnya media pembelajaran yang interaktif dan sesuai dengan kebutuhan siswa. Penelitian ini bertujuan untuk mengembangkan aplikasi pembelajaran Aksara Lontara Bugis berbasis Android sebagai solusi untuk meningkatkan minat dan pemahaman siswa dalam mempelajari aksara tersebut. Aplikasi ini dirancang khusus untuk siswa SDN 152 Cenning di Desa Salonbongko, Kecamatan Malangke Barat. Metode yang digunakan dalam pengembangan aplikasi meliputi analisis kebutuhan, desain antarmuka, implementasi fitur pembelajaran interaktif, dan evaluasi oleh siswa dan guru. Aplikasi ini menyediakan fitur seperti pengenalan huruf Lontara, kuis interaktif, dan permainan edukasi yang mendukung proses belajar mengajar. Hasil uji coba menunjukkan bahwa aplikasi ini efektif dalam meningkatkan motivasi dan kemampuan siswa dalam mempelajari Aksara Lontara Bugis. Dengan demikian, aplikasi ini diharapkan dapat menjadi media pembelajaran inovatif yang mendukung pelestarian budaya lokal di era digital.Abstract. The Lontara Bugis script is one of Indonesia's cultural heritages that must be preserved, especially among the younger generation. However, teaching this script at the elementary school level faces challenges, such as the lack of interactive and suitable learning media for students. This study aims to develop an Android-based learning application for the Lonta The development method includes needs analysis, interface design, implementation of interactive learning features, and evaluation by students and teachers. The application offers features such as Lontara script recognition, interactive quizzes, and educational games that support the teaching and learning process. Trial results indicate that the application effectively improves students' motivation and ability to learn the Lontara Bugis script. Therefore, this application is expected to become an innovative learning medium that supports the preservat.
SISTEM INFORMASI SMA NEGERI 7 LUWU TIMUR BERBASIS WEB Utami, Andi Syahri; Muhallim, Muhlis; Apriyanto, Apriyanto
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6076

Abstract

Abstark. Tujuan penelitian ini adalah membuat sistem informasi SMA Negeri 7 Luwu Timur. Metode penelitian yang digunakan dalam penelitian ini adalah metode Waterfall. Metode pengumpulan data dalam penelitian dan (1) dokumentasi data; (2) pengamatan; (3) wawancara; dan (5) studi pustaka. Perancangan website yang dibuat menggunakan metode pengembangan Unified Modelling Language (UML) yang terdiri dari use case diagram, activity diagram, entity relationship dan sequence diagram. Adapun software yang digunakan dalam perancangan sistem informasi ini menggunakan bahasa pemrograman PHP, xampp sebagai webserver, dan MySQL sebagai database. Penelitian ini menghasilkan sebuah website yaitu sistem informasi sekolah. Website ini telah diuji dengan menggunakan metode pengujian Black Box. Dengan adanya website ini dapat membantu guru, pengunjung, siswa dan pihak sekolah untuk mengelola data-data yang ada.Abstract. The purpose of this research is to create an information system for SMA Negeri 7 Luwu Timur. The research method used in this study is the Waterfall method. Data collection methods in research and (1) data documentation; (2) observation; (3) interviews; and (5) literature study. The website design is made using the Unified Modeling Language (UML) development method which consists of use case diagrams, activity diagrams, entity relationships and sequence diagrams. The software used in the design of this information system uses the PHP programming language, xampp as the webserver, and MySQL as the database. This research produces a website that is a school information system. This website has been tested using the Black Box testing method. With this website it can help teachers, visitors, students and the school to manage existing data.
Inhibition of Human Acetylcholinesterase (4EY7) using Bioactive Compound from Moringa oleifera: Molecular Docking and Dynamic Studies Utami, Wiji; Apriyanto, Apriyanto; Antari, Laila; Rasyid, Herlina; Fitriani, Ika Nur
Jurnal Kimia Valensi Jurnal Kimia VALENSI, Volume 10, No. 2, November 2024
Publisher : Department of Chemistry, Faculty of Science and Technology Syarif Hidayatullah Jakarta State Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jkv.v10i2.39840

Abstract

Alzheimer's disease is a neurodegenerative disorder caused by acetylcholine hydrolysis that impairs cognitive brain function. This research aims to determine the interaction and dynamic of ligands from Moringa oleifera on AChE through Lipinski's Rule, ADMET properties, molecular docking calculations, and molecular dynamic simulations. Lipinski's Rule calculation provided ligand limits that adhere to druglikeness properties. ADMET results also showed that several ligands satisfy ADMET properties. Pterygospermine has lower binding energy than the ligand control (-10.28 kcal mol-1) with amino acid residues of TYR133 and GLU202. It indicates a favorable interaction between the AChE receptor and ligand in the inhibition process. Based on molecular docking calculations, pterygospermine inhibits the AChE receptor at the Long, narrow aromatic gorge active site. According to molecular dynamic simulations, the MMPBSA energy for pterygospermine is 37.377 kJ mol-1. The samples showed a total average RMSD of 2 Å, suggesting no significant conformational changes throughout the simulation. The sample's average RMSF value is around 2 Å, suggesting favorable interactions with the receptor during simulation. However, this data is different from the ligand control interaction mode. Molecular dynamic investigations of the pterygospermine ligand in the complex revealed the stability and unfolded effect on the protein. The results of this study propose a candidate anti-Alzheimer's ligand from Moringa oleifera against the AChE receptor. In practice, these results can contribute to research studies exploring natural ingredients from plants with medicinal potential in drug discovery. These results can be validated using further research in vitro and in vivo.
PERAN TEKNOLOGI BIG DATA DALAM MENINGKATKAN EFEKTIVITAS MANAJEMEN PENDIDIKAN DI PERGURUAN TINGGI Marlina, Marlina; Saifullah, Saifullah; Apriyanto, Apriyanto; Megavitry, Rissa; Wiliyanti, Vandan; Jaswan, Jaswan
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 3 (2024): Vol. 7 No. 3 (2024): Volume 7 No 3 Tahun 2024 (Special Issue)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i3.31544

Abstract

Penelitian ini mengkaji peran teknologi Big Data dalam meningkatkan efektivitas manajemen pendidikan di perguruan tinggi. Metode studi literatur digunakan untuk mengumpulkan dan menganalisis informasi dari berbagai sumber terkait penerapan Big Data dalam konteks pendidikan tinggi. Hasil penelitian menunjukkan bahwa penggunaan Big Data dapat secara signifikan meningkatkan efisiensi pengelolaan administrasi perguruan tinggi, memungkinkan pengambilan keputusan yang lebih tepat waktu dan informasional, serta personalisasi pengalaman belajar mahasiswa. Namun, tantangan terkait privasi dan keamanan data perlu diperhatikan dalam implementasi teknologi ini. Oleh karena itu, rekomendasi disarankan untuk mengembangkan kebijakan yang mengatur penggunaan data secara etis dan aman, serta meningkatkan kapasitas staf dalam mengelola dan menganalisis data Big Data. Penelitian ini memberikan kontribusi dalam pemahaman terhadap potensi dan tantangan teknologi Big Data dalam transformasi manajemen pendidikan di perguruan tinggi.
Implementation of Augmented Reality Technology in History Learning: Experimental Study Apriyanto, Apriyanto; Maharjan, Kailie; Wei, Zhang
Journal of Computer Science Advancements Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i4.1321

Abstract

The integration of technology into education continues to evolve, with augmented reality (AR) emerging as a promising tool in enhancing learning experiences. In the context of history education, traditional methods often struggle to engage students and provide immersive experiences. This study investigates the implementation of augmented reality technology in history learning to assess its impact on student engagement and understanding. The research aims to determine whether AR can effectively improve students' comprehension of historical events and concepts compared to conventional teaching methods. A mixed-methods experimental design was employed, involving a sample of high school students who were divided into an experimental group using AR technology and a control group following traditional teaching methods. Data were collected through pre- and post-intervention assessments, surveys, and interviews. The analysis focused on comparing learning outcomes and engagement levels between the two groups. Results indicated that the experimental group demonstrated significantly higher scores on post-intervention assessments and reported greater engagement and interest in the subject matter compared to the control group. These findings suggest that AR technology can enhance students' understanding of historical content by providing interactive and immersive learning experiences. The study concludes that incorporating AR technology into history education can significantly improve student learning outcomes and engagement. The use of AR provides a novel approach to teaching history, offering immersive experiences that can complement traditional methods. Future research should explore the long-term effects of AR on learning and its applicability across various educational contexts.
Implementation of Deep Learning in a Voice Recognition System for Virtual Assistants Apriyanto, Apriyanto; Sahirin, Rohmat; Bradford, Snyder
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1533

Abstract

Voice recognition technology has become a vital component in virtual assistants, enabling more natural and efficient user interactions. However, traditional voice recognition systems face challenges in accurately interpreting diverse accents, dialects, and background noise, which can limit their usability. This study investigates the implementation of deep learning techniques to improve the accuracy and adaptability of voice recognition systems within virtual assistant applications. The research aims to enhance voice recognition performance by leveraging deep learning models that can process complex speech patterns and adapt to varied linguistic nuances. A convolutional neural network (CNN) architecture combined with recurrent neural networks (RNN) was used to train the voice recognition model on a large, diverse dataset of audio samples. The dataset included multiple languages, accents, and noisy environments to test the robustness of the model. Results indicate a 25% improvement in word error rate (WER) and a significant increase in recognition accuracy across diverse voice inputs compared to traditional voice recognition systems. The model demonstrated high adaptability, accurately interpreting speech in varying acoustic conditions, thus improving user experience with virtual assistants. These findings suggest that deep learning can significantly enhance voice recognition systems, offering more reliable performance in real-world applications. Implementing deep learning models in voice recognition systems can bridge the gap between human and machine communication, making virtual assistants more accessible and user-friendly.
POTRET BUMDES KECAMTAN AIR SUGIHAN dan KECAMATAN AIR KUMBANG KABUPATEN BANYUASIN Sunardi, Sunardi; Asiati, Diah Isnaini; Apriyanto, Apriyanto
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 3, No 1 (2020): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v3i1.73-80

Abstract

Improving Bumdes governance will always require identification of problems and solutions so that Bumdes can go to star 5. This activity carried out in 38 villages in Air Kumbang and Muara Sugihan districts, participants of each event by two Bumdes managers, the activities are divided into two days. Different, by collaborating with the sub-district government and Palembang Muhammadiyah University. The result of this activity is Bumdes has many internal problems. Furthermore, the solutions that must be immediately adopted are: fixing and strengthening, business mapping, and business selection evaluated through a business feasibility study, an evaluation of the AD / ART that has prepared, the need for a companion from the government, and universities and strengthening human resources.
Optimalisasi Daya Dukung Kelompok Tiang Di Tanah Lunak Amariansah, Widayat; Apriyanto, Apriyanto; Febriansah, M Doni
Neo Teknika Vol 7, No 2 (2021): Vol 7 No 2 (2021) : Jurnal Neoteknika Volume 7 Nomer 2 Desember 2021
Publisher : Universitas Pandanaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37760/neoteknika.v7i2.1837

Abstract

Struktur bangunan di atas lapisan tanah lunak seperti lanau kelempungan setebal lebih dari 30 meter, menyebabkan pemilihan jenis pondasi tiang lebih mengandalkan gaya gesek (total friction) dari uji sondir dibanding nilai N-SPT. Studi kasus di daerah Sidoarjo menunjukkan bahwa lapisan lanau kelempungan sampai kedalaman 30 meter hanya mempunyai tekanan konus 40 kg/cm2, total friction 1092 kg/cm dan N-SPT 2. Pada lokasi ini dibangun jembatan kelas A dengan beban BM100 sehingga pekerjaan pondasi harus memperhatikan faktor ukuran tiang, kelangsingan tiang, jarak antar tiang yang mempengaruhi efisiensi kelompok tiang, tahanan tiang terhadap gaya lateral dan daya dukung ijin kelompok tiang. Hasil simulasi memunculkan beberapa kombinasi kelompok tiang yang bisa dijadikan optimalisasi daya dukung tiang. Rancangan kombinasi kelompok tiang ini harus diuji di lapangan dengan load factor minimal 2,00 agar tiang yang dipancang mempunyai daya dukung lebih besar dari daya dukung yang diijinkan. Kata kunci : optimalisasi, daya dukung tiang, tanah lunak.
Implementation of Job Rotation as an Effort to Strengthen Sustainable Business Performance Apriyanto, Apriyanto; Priyana, Yana; Badriyah, Siti; Budiman, Dana
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.5415

Abstract

This study explores the implementation of job rotation as a strategic tool to enhance sustainable business performance. Using a quantitative approach, data was collected from 100 respondents through a structured Likert-scale questionnaire. The study focuses on how job rotation influences key organizational elements such as employee development, work motivation, and adaptability, all of which are crucial for achieving sustainable performance. The data was analyzed using SPSS version 25, including descriptive statistics, validity and reliability testing, and simple linear regression. The findings indicate a positive and significant relationship between job rotation and sustainable business performance, with a regression coefficient of 0.712 and a significance value of 0.000. The coefficient of determination (R²) of 0.552 suggests that job rotation accounts for 55.2% of the variance in sustainable business performance. This highlights the substantial role job rotation plays in improving long-term organizational sustainability. Additionally, the study provides practical implications for managers, urging them to design job rotation programs that align with organizational objectives and employee development needs. By doing so, companies can foster a more adaptable, motivated, and skilled workforce, which in turn supports the sustainability of their business performance. Furthermore, the study emphasizes the importance of aligning job rotation practices with strategic human resource management efforts to maximize their impact on organizational sustainability. These findings contribute to the broader understanding of human resource management practices and their role in fostering long-term business success.
Co-Authors Abduh, Hisma Abed, Yara Abrar Hiswara Adiazmil, Aan Agil, Ibnu Aini, Apriyanti Albadri, Albadri Alhamdani, Abdul Kodir Alnisari, Alnisari Amariansah, Widayat Andiani, Paramita Anggara, Reddy Antari, Laila Ardiansyah, Fasyah Arief Yanto Rukmana Arifin , Zainal Arini, Rani Eka Arisondha, Edy Astuti - Aulia, Sofi Azhiman, Fauzan Azmi, Riska Nurul Bobby Ferly Bradford, Snyder Bunyamin, Ilham Akbar Chrisdiana, Yulvia Dana Budiman Dasmen, Rahmat Novrianda Dedy Wahyudi Diah Isnaini Asiati Edi Sutanto Edison, Rizki Edmi FAIZAL FAIZAL FAIZAL Fardinah, Fardinah Fasli Jalal Febriansah, M Doni Fitiria, Zakiatul Frans Sudirjo Gamar Al Haddar, Gamar Al Gustin, Nindi Riyan Hamzan Wadi Hanim, Saidatul Harun, Lalu Ahmad Hidayat, Deddy Hikmah Hikmah Himawan Sutanto, Himawan Homiswadi, Homiswadi Hossam, Ahmed Ibnusina, Fedri Ihwanudin Ma’ruf Ika Nur Fitriani Ilham, M Indriwati Indriwati Intes, Amina Irfansyah Irfansyah Ismiati, Riska Jaswan, Jaswan Judijanto, Loso Katjong, Rizky Wisudawan Khadijah Khadijah Lamdayani, Rinda Latifa Dinar Rahmani Hakim Lesmana, Tera Lestari, Sri Dian Maharjan, Kailie Mardiati Mardiati Marius Masri Sadipun Marlina Marlina Mauliana, Yunita Maulina, Fina Mirahwati, Mirahwati Monica, Poppy Muflih Adi Laksono Muhallim, Muhlis Muhammad Nadjib, Muhammad Muhibbatun, Muhibbatun Muhtadi, Muhamad Ammar Mukhta, Diniwati Murniawan, Muhammad Wahid Musa Hefer Smas Nampira, Ardi Azhar Nila Sari Novitasari, Salwa Aulia Nugroho, Agung Yuliyanto Nur Handoko Nurhaliza, Ellys Nurhasanah, Dila Padila Nurhidayah Nurhidayah Nursyam Anaguna NURUL AZIZAH Pangaribuan, Hotma Priyana, Yana Purnomo, Adi Dwi Purwinahyu, Purwinahyu Putra, M. Willie Aidillio Rahmawati, Sri Andlina Rasyid, Herlina Riana Riana, Riana Rifandi, Muhammad Rinto Suppa Rismayanti Rismayanti Rissa Megavitry Rohana Nur Aini Roni Afrizal Rosadi, Elda Mnemonica Sahirin, Rohmat Saifullah Saifullah Salam, Ananda Azhara As Saputri, Mila Oktalia Setiani, Dwi Aluh setiawati, rahmi Sitepu, Ediaman Siti Annisa Wahdiniawati, Siti Annisa Siti Badriyah Siti Maria Siti Mudawanah Sitti Hasnah Slamet Haryadi Sono, Mohammad Gifari Suherna, Nana Sukarsih Sukarsih, Sukarsih Sunardi Sunardi Supriandi Supriandi, Supriandi Susi Susilowati, Susi Susilo, Anton Syahrir, Nur Hilal A. Tria Anggraini Utami, Andi Syahri Utami, Eva Yuniarti Vandan Wiliyanti Wahyudi Wahyudi Wahyuni, Ester Dwi Wardani, Chyntia Ayu Wibowo, Teguh Setiawan Wiji Utami, Wiji Winata, Rizki Hardian Yahya, Sitti Rachmawati Yanti, Septa Affifa Virgi Yayan Febriyanto Yuli Purwanti Zakaria Habib Al-Ra’zie Zelpiana, Zelpiana Zhang Wei