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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmu Komputer dan Informasi Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Manajemen Teori dan Terapan Register: Jurnal Ilmiah Teknologi Sistem Informasi Sistemasi: Jurnal Sistem Informasi Seminar Nasional Teknologi Informasi Komunikasi dan Industri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informasi dan Teknologi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknik Industri Terintegrasi (JUTIN) International Journal of Science, Engineering and Information Technology International Journal on Social Science, Economics and Art Journal of Artificial Intelligence and Digital Business Indonesian Journal of Multidisciplinary on Social and Technology Jurnal Rekayasa elektrika CARE: Jurnal Pengabdian Multi Disiplin Dedikasi: Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat Journal of Digital Community Services Journal Of Community Sustainability Journal of Engineering and Science Application Journal of Education and Computer Applications Journal of Community Service and Empowerment Dedikasi: Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat JES-TM Social and Community Service
Arif Mudi Priyatno
Universitas Pahlawan Tuanku Tambusai
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Other

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Pendampingan Pengembangan Website Official PT Mond Nature Lestari untuk Penyebaran Informasi Produk Arif Mudi Priyatno; Wahyu Febri Ramadhan Sudirman; Wanda Lasepa; Nur Afrinis; Eka Roshifita Rizqi; Lailatul Syifa Tanjung; Hidayati Rusnedy
Journal of Digital Community Services Vol. 1 No. 1 (2024): January
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/dcs.v1i1.2

Abstract

The efficient distribution of product information plays a crucial role in the growth of inclusive and sustainable micro-enterprises. Within this framework, the community service activity is undertaken to enhance the accessibility of product information from PT Mond Nature Lestari. This is achieved by supporting the development of PT Mond Natural LESTARI's official website. PT Mond Nature Lestari is a small business established on August 18, 2020, with the NIB (Manduk Enterprise Number) 0220307891283. This endeavor centers on the manufacturing of teas, namely teas and flour, derived from natural and premium-grade components. This community service is implemented using a systematic support approach, encompassing requirements assessment, establishment of support teams, training, website building, content management training, and technical assistance. The escort team comprises IT specialists, web developers, and facilitators. The outcome of this community service endeavor is the development of an operational and adaptable official website for Mond Nature Lestari. The website provides convenient access to crucial information, including the items offered by PT Mond Nature Lestari. The support and training provided significantly enhanced the human resource capability at Mond Nature Lestari in autonomously managing and updating website material. The primary goal of enhancing the accessibility of Mond Nature Lestari's information products has been effectively accomplished through this community service. This community service activity has resulted in a favorable transformation in the way communication and micro-enterprise growth occur, moving towards a more sophisticated, interconnected, and inclusive approach.
Urgensi Literasi Investasi Bagi Santri SMA IT Al-Utsaimin Sudirman, Wahyu Febri Ramadhan; Priyatno, Arif Mudi; Syaipudin, Muhamamd; Jati, Putri Zulia; Hermawati, Sela
CARE: Journal Pengabdian Multi Disiplin Vol. 2 No. 2 (2024)
Publisher : Fakultas Agama Islam Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/care.v2i2.30919

Abstract

Pengetahuan tentang investasi menjadi semakin penting untuk memastikan kesiapan finansial masa depan. Penelitian ini berfokus pada pemahaman santri terhadap konsep investasi, alat-alat investasi yang tersedia, dan risiko yang terkait dengan investasi. Melalui metode pengabdian masyarakat dalam bentuk penyuluhan dan sosialisasi menegnai literasi investasi di kalangan santri diharapakan mampu untuk meningkatkan pengetahuan dan minat santri dalam melakukan investasi di masa depan. Selain itu, kurangnya sumber daya pendidikan dan panduan praktis di sekolah juga menjadi hambatan utama. Oleh karena itu, pengabdian ini merekomendasikan peningkatan kurikulum pendidikan yang mencakup literasi finansial dan investasi, serta pelatihan bagi guru untuk membimbing santri dalam membuat keputusan investasi yang bijak. Dengan meningkatkan literasi investasi, diharapkan santri dapat lebih siap menghadapi tantangan ekonomi masa depan dan mengembangkan kebiasaan keuangan yang sehat sejak dini.
Feature selection using non-parametric correlations and important features on recursive feature elimination for stock price prediction Priyatno, Arif Mudi; Ramadhan Sudirman, Wahyu Febri; Musridho, Raja Joko
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i2.pp1906-1915

Abstract

Stock price prediction using machine learning is a rapidly growing area of research. However, the large number of features that can be used can complicate the learning process. The feature selection method that can be used to overcome this problem is recursive feature elimination. Standard recursive feature elimination carries the risk of producing inaccurate algorithms because the top-ranked features are not necessarily the most important features. This research proposes a feature selection method that combines important features and nonparametric correlation in recursive feature elimination for stock price prediction. The data features used are technical indicators and stock price history. The recursive feature elimination method is modified with important features and nonparametric correlation features. The strategy for combining important features and non-parametric features is average weight, 25:75% weight, 75:25% weight, maximum weight, and minimum weight. The performance evaluation results show that the proposed feature selection method succeeded in obtaining small error values. The proposed method for predicting PT Bank Rakyat Indonesia Tbk (BBRI) stock prices obtains mean squared error, root mean square error, mean absolute error, and mean absolute percentage error evaluation values of 0.0000336, 0.00577, 0.00459, and 1.78%, respectively. This shows that recursive feature elimination with feature selection that combines important features and non-parametric correlation works better than the original recursive feature elimination at predicting stock prices.
Penyuluhan Tentang Dampak Positif Penggunaan Gadget Bagi Anak Usia Dini Rusnedy, Hidayati; Tanjung, Lailatul Syifa; Hidayat, Hidayat; Priyatno, Arif Mudi
Journal of Digital Community Services Vol. 1 No. 2 (2024): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/dcs.v1i2.7

Abstract

The Golden Age period is for children aged 0-6 years, where during this period children's development develops rapidly and must develop well, this is because during this period children have potential in something and have a very great curiosity. It is seen that children often wonder about what they see. The use of gadgets, especially smartphones and tablets in early childhood, has now become a public concern. The reason is, gadgets have become a necessity for society and even children. Gadgets are technology that have very interesting applications and features, such as games and videos that children really like. Most parents do not pay attention to and regulate their children's use of gadgets and sometimes parents do not realize that their children are addicted to gadgets. This outreach aims to provide knowledge to parents and teachers that if the use of gadgets is carried out with supervision and used properly it will have a positive impact which is very useful for children's development, be it physical, emotional and intelligence development
Bimbingan Penyusunan Rubrik Penilaian Bagi Guru Tk Bhakti Pertiwi Kabupaten Kampar Joni, Joni; Alim, Melvi Lesmana; fauziddin, Mohammad; Priyatno, Arif Mudi
Journal of Digital Community Services Vol. 1 No. 2 (2024): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/dcs.v1i2.13

Abstract

Penilaian merupakan sebuah proses untuk mendapatkan informasi dalam bentuk apapun akan digunakan sebagai dasar pengambilan keputusan tentang anak baik yang menyangkut kurikulumnya, program pembelajarannya, iklim sekolah maupun kebijakan-kebijakan sekolah. Ada berbagai teknik penilaian yang dapat Guru lakukan di kelas, teknik paper and pencil test, unjuk kerja anak dalam menyelesaikan pekerjaan rumah, unjuk karya, dan juga keaktifan anak selama proses pembelajaran. Semua informasi yang Guru dapatkan dari penilaian nantinya akan dianalisis untuk kepentingan laporan kemajuan anak. Kegiatan penilaian selalu diidentikkan dengan tiga istilah yaitu pengukuran, evaluasi, dan tes. Hasil penilaian dapat berupa nilai kualitatif dan nilai kuantitatif. Evaluasi merupakan proses pemberian makna atau penetapan kualitas hasil pengukuran dengan cara membandingkan angka hasil pengukuran tersebut dengan kriteria tertentu. Teknik penilaian yang digunakan harus dapat mengungkapkan kemampuan khusus serta untuk mengembangkan kemampuan anak. Sehingga penilaian juga harus dapat memberikan umpan balik bagi anak. Untuk menghindari subjektifitas dalam proses pelaksanaan penilaian dibutuhkan rubrik penilaian atau kriteria penilaian guru. Penyusunan rubrik penilaian tentu harus dirancang sesuai dengan target atau tujuan pembelajaran. Penilaian pembelajaran dapat dikategorikan menjadi tiga jenis, yaitu: penilaian terhadap pembelajaran (assessment of learning), penilaian untuk pembelajaran (assessment for learning), dan penilaian sebagai pembelajaran (assessment as learning). Miskonsepsi yang sering terjadi dilapangan terhadap penilaian pendidikan adalah bahwa penilaian adalah hal yang terpisah dengan proses kegiatan pembelajaran. Guru lebih fokus pada kegiatan pembelajaran dan menentukan penilaian kemudian, maka yang terjadi adalah tidak ada keterkaitan antara proses pembelajaran dan penilaian yang dilakukan. Akibatnya hasil penilaian tidak dapat dijadikan patokan apakah anak telah berkembang atau tidak.
Pelatihan Design Produk di PT Mond Nature Lestari Priyatno, Arif Mudi; Sudirman, Wahyu Febri Ramadhan; Lasepa, Wanda; Afrinis, Nur; Rizqi, Eka Roshifita; Tanjung, Lailatul Syifa; Rusnedy, Hidayati; Hidayat, Hidayat
Journal of Digital Community Services Vol. 1 No. 2 (2024): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/dcs.v1i2.17

Abstract

Pelatihan desain produk di PT Mond Nature Lestari bertujuan untuk meningkatkan keterampilan tim desain dalam penggunaan perangkat lunak modern seperti Canva dan Figma. Pelatihan ini mendukung visi perusahaan untuk menyediakan produk organik berkualitas tinggi dengan desain yang menarik, fungsional, dan berkelanjutan. Pendekatan yang sistematis mencakup analisis kebutuhan, penyusunan kurikulum, dan pelatihan tatap muka serta daring. Hasil pelatihan menunjukkan peningkatan signifikan dalam keterampilan tim desain, terutama dalam penggunaan perangkat lunak desain. Tim mampu menghasilkan desain yang lebih estetis dan profesional, meningkatkan daya tarik visual produk serta materi pemasaran perusahaan. Pelatihan Figma meningkatkan efisiensi dan koordinasi dalam membuat prototipe desain UI/UX secara real-time, mengurangi kesalahan dan mempercepat waktu pengerjaan. Pelatihan ini terbukti efektif dalam mendukung inovasi dan keberlanjutan bisnis PT Mond Nature Lestari di pasar produk organik yang kompetitif. Dengan hasil-hasil yang telah dicapai, dapat disimpulkan bahwa pelatihan desain produk ini sangat efektif dalam mencapai tujuan yang telah ditetapkan. Keberhasilan ini tidak hanya memperkuat posisi PT Mond Nature Lestari di pasar, tetapi juga mendukung visi dan misi perusahaan untuk terus berinovasi dan berkontribusi positif bagi masyarakat dan lingkungan.
Sistem Informasi Potensi Pertanian Kelompok Tani Desa Laboy Jaya Rusnedy, Hidayati; Marwa, Safni; Musrodho, R. Joko; Priyatno, Arif Mudi
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 2 No. 2 (2024)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijmst.v2i2.335

Abstract

Penelitian ini bertujuan untuk mengembangkan Sistem Informasi Potensi Pertanian bagi Kelompok Tani di Desa Laboy Jaya. Desa ini memiliki potensi pertanian yang besar, namun kurangnya sistem pengelolaan informasi yang efektif telah menjadi kendala dalam pemanfaatan potensi tersebut secara optimal. Sistem yang dirancang bertujuan untuk memetakan dan mengelola data terkait jenis tanaman, luas lahan, hasil produksi, serta masalah dan kebutuhan pertanian yang dihadapi oleh para petani. Metodologi penelitian ini melibatkan pengumpulan data melalui observasi, wawancara, dan studi literatur, serta pengembangan sistem menggunakan metode pengembangan perangkat lunak terstruktur. Hasil dari penelitian ini adalah sebuah sistem informasi berbasis web yang dapat diakses oleh anggota kelompok tani dan pemangku kepentingan lainnya, guna mendukung pengambilan keputusan yang lebih efektif dalam pengelolaan sumber daya pertanian. Implementasi sistem ini diharapkan dapat meningkatkan efisiensi dan produktivitas pertanian di Desa Laboy Jaya dengan menyediakan informasi yang akurat dan terkini. Selain itu, sistem ini juga bertujuan untuk memperkuat koordinasi antar anggota kelompok tani dan memfasilitasi komunikasi dengan pihak eksternal seperti pemerintah daerah dan penyuluh pertanian
The Effect of Overconfidence Bias on Investment Decision: Sharia Stock Considerations Wahyu Febri Ramadhan Sudirman; Nurnasrina Nurnasrina; Muhammad Syaipudin; Arif Mudi Priyatno
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 2 (2024): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i2.26091

Abstract

Investment decisions are a complex process involving risk evaluation, market analysis, and investment return projections. In the decision-making process, investors sometimes show irrational behavior because they have cognitive limitations and previous investment experience so investors are exposed to overconfident behavior. This research used 178 samples consisting of investors who had investment experience of at least 1 year. The research carried out instrument testing and used the common method bias (CMB) testing procedure. The analytical method in the research uses simple linear regression. The results of testing the research hypothesis obtained positive and significant results of overconfidence bias towards irrational investment decisions The moderating role of sharia sharia considerations on the relationship between overconfidence bias and unsupported investment decisions. This research reveals that overconfidence can have a positive influence on irrational investment decision-making. Investors who tend to have excess confidence in their knowledge and skills in analyzing the market tend to make investment decisions that are more impulsive, less rational and sometimes ignore risks significantly. Future research is recommended to further investigate the mechanisms behind the relationship between overconfidence and irrational investment decision-making, as well as involving a wider sample to obtain stronger generalizations.
Harnessing Machine Learning for Stock Price Prediction with Random Forest and Simple Moving Average Techniques Arif Mudi Priyatno; Lidya Ningsih; Muhammad Noor
Journal of Engineering and Science Application Vol. 1 No. 1 (2024): April
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v1i1.1

Abstract

This paper explores the application of machine learning in predicting stock price trends, specifically for PT Bank Central Asia Tbk (BBCA) shares, using the Random Forest Regression model and Simple Moving Average (SMA) techniques. The SMA parameters ranged from 3 to 200 days, aiding in forecasting the price trends as either rising, sideway, or declining. To achieve accurate and generalizable predictions, the data normalization process was implemented using the MinMax scaler. The methodological framework adopted a time series cross-validation (CV) approach, executed 10 times with a future test window of 40 days, ensuring the robustness and reliability of the predictive model. The model's performance was systematically evaluated based on metrics of accuracy, recall, precision, and F1-score. Results from the cross-validation series indicated varied performance, with the most notable achievements in the 9th and 10th iterations, where both demonstrated an F1-score surpassing 0.745 and 0.808 respectively, and similar levels of accuracy and recall at 0.825. These high F1-scores signify a strong harmonic balance between precision and recall, underscoring the model's capability to effectively predict the stock price movements of BBCA. The findings affirm the potential of utilizing advanced machine learning techniques like Random Forest in conjunction with SMA indicators to enhance the predictability of stock market trends, offering valuable insights for investors and financial analysts.
Comparison of Similarity Methods on New Student Admission Chatbots Using Retrieval-Based Concepts Arif Mudi Priyatno; M. Riko Anshori Prasetya; Putri Cholidhazia; Resy Kumala Sari
Journal of Engineering and Science Application Vol. 1 No. 1 (2024): April
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v1i1.2

Abstract

A college's students are an essential component. The college always opens registration for new students each year. Every year, more than 1,000 prospective new students register. Because of this, the new student admissions committee is constantly overwhelmed when responding to campus-related questions. As a result, developing a chatbot to assist new students is necessary. The best similarity method is needed for the development of a chatbot using a retrieval-model approach. The New Student Admission Chatbot and the Similarity Method are compared in this study using the Retrieval-Based Concept. The cosine, Jaccard, dice, euclidean, Manhattan, Canberra, and Chebyshev similarity methods are compared. In the context of Universitas Pahlawan Tuanku Tambusai, the data used are information about new students as well as accreditation for study program. There are 41 pieces of information used. Labels and information make up data. According to the test results, the dice and cosine similarity methods are the most effective. On all tested thresholds, dice and cosine similarity achieved an f1-score above 80%. Recall produces extremely optimal results, including 100%.Over 75% of the time, good results are reliably achieved. This demonstrates that the retrieval-model concept can be applied
Co-Authors Achmad Noerkhaerin Putra Achmad Ridwan Agus Zainal Arifin Amalia, Fazilla Arnes Yuli Vandika Baskoro Nugroho Cholidhazia, Putri Dini Adni Navastara, Dini Adni Eha Renwi Astuti Eka Roshifita Rizqi Evan Tanuwijaya Fahmi Iqbal Firmananda Fahmi Iqbal Firmananda Fahmi Iqbal Firmanda Fahmi Syuhada Fazilla Amalia Fazilla Amalia Febi Yanto Firmananda, Fahmi Iqbal Firmanda, Fahmi Iqbal Hermawati, Sela Hidayat Hidayat Iis Afrianty Jati, Putri Zulia Joni Joni Lailatul Syifa Tanjung Lasepa, Wanda Lidya Ningsih M. Riko Anshori Prasetya Mardiyah, Suci Marwa, Safni Melvi Lesmana Alim Mera, Mera Mifta Hasda Mohd. Winario Muhammad Mirza Muttaqi Muhammad Noor Muhammad Riko Anshori Prasetya Muhammad Riko Anshori Prasetya Muhammad Syaipudin Muhammadong Muhsin Bayu Aji Fadhillah Musrodho, R. Joko Muttaqi, Muhammad Mirza Ningsih, Yunia Nur Afrinis Nurhaeni Nurhaeni Nurnasrina Nurnasrina Prasetya, Riko Anshori Putri Zulia Jati Putri, Elen Sri Ega Radityo Anggoro, Radityo Raja Joko Musridho Rarasmaya Indraswari Resy Kumala Sari Rizki, Syafnur Muhammad Rizqi, Eka Roshifita Rizqon Jamil Farhas Rizqon Jamil Farhas Rusnedy, Hidayati Saru Reza Subhannur Rahman, Subhannur Suwanto Sanjaya Syaipudin, Muhamamd Syuhada, Fahmi Tanjung, Lailatul Syifa Triyanna Widiyaningtyas Wahyu Febri Ramadhan Sudirman Wahyuni, Ulfia Wanda Lasepa Wiratmo, Agung Zahara, Alfiatun Zubaidah Assyifa