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All Journal Jurnal Ilmiah KOMPUTASI InSTEM DIGIMAS: Jurnal Transformasi Digital Masyarakat
I Made Tirta
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Education Engineering Mathematics Physics Other

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Prediksi Harga Saham PT Bank Rakyat Indonesia Tbk Menggunakan AUTOML H2O I Made Tirta; Abduh Riski; Sholikhah, Nining
Jurnal Ilmiah Komputasi Vol. 23 No. 3 (2024): Jurnal Ilmiah Komputasi : Vol. 23 No 3, September 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.23.3.3624

Abstract

Bank BRI is a government-owned company with share prices recorded in the Initial Public Offering (IPO) which has the status of a public company. BRI Bank's share price experienced fluctuations caused by some factors. Predicting BRI Bank share prices is important to make it easier for investors to enter make investment decisions. Auto Machine Learning (AutoML) refers to the concept of machine learning and training automatic parameter setting. H2OAutoML can be used to predict stock prices with deliver program code and accelerate the development of accurate algorithms. H2OAutoML provides various algorithms, but the one used in this research is the Generalized Linear Model (GLM), Distributed Random Forest (DRF), Gradient Boosting Machine (GBM), and stacked ensemble. The aim of this research is to find out the optimal algorithm and prediction results produced by H2OAutoML on close stock prices. Algorithm The best basis according to H2OAutoML is GBM with the smallest MAPE value and the largest R Square. However, when this basic algorithm combined with stacking techniques produces better predictions. The basic algorithm used to build stacked ensembles are DRF, XRT, GLM, and GBM. This stacked ensemble is constructed sequentially automatically by H2OAutoML with the GLM metalearning algorithm. Thus, stacked ensembles are capable predicts with fairly good accuracy and can explain data variability.
Peningkatan Literasi Statistika dan Pemanfaatan Data Kriminalitas Melalui GWR di Jawa Tengah dan D.I.Yogyakarta Luckyta Citra Ayu Paramitha; Yuliani Setia Dewi; I Made Tirta; Alfian Futuhul Hadi
Jurnal Transformasi Digital Masyarakat (DIGIMAS) Vol. 1 No. 2 (2025): DIGIMAS: Jurnal Transformasi Digital Masyarakat
Publisher : Universitas Jember

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Abstract

Tindak kriminal merupakan permasalahan kompleks yang dipengaruhi oleh berbagai faktor struktural dan kultural, seperti kondisi ekonomi, sosial, dan demografi. Berdasarkan data Statistik Kriminal 2019 yang dipublikasikan oleh BPS. Provinsi Jawa Tengah dan D.I. Yogyakarta memiliki jumlah kejahatan yang relatif tinggi dibandingkan provinsi lain di Pulau Jawa. Provinsi tersebut termasuk dalam 15 besar provinsi dengan jumlah kriminalitas tertinggi di Indonesia pada tahun 2018. Analisis spasial dapat digunakan untuk mengidentifikasi pola geografis dan faktor-faktor yang mempengaruhi tingkat kriminalitas di suatu wilayah. Kegiatan pengabdian masyarakat ini bertujuan untuk menyampaikan hasil analisis spasial kriminalitas kepada pemerintah daerah dan masyarakat melalui pendekatan statistika terapan, khususnya dengan menggunakan metode Geographically Weighted Regression (GWR). Analisis dilakukan untuk mengidentifikasi faktor-faktor yang secara lokal mempengaruhi tingkat kriminalitas, serta memberikan informasi yang dapat digunakan sebagai dasar penyusunan kebijakan berbasis data. Model GWR yang diterapkan menunjukkan adanya variasi spasial dalam pengaruh variabel-variabel terhadap angka kriminalitas. Model ini lebih baik dibandingkan model regresi linear biasa (OLS). Hasil menunjukkan bahwa variabel kepadatan penduduk (X2) berperngaruh signifikan pada angka kriminalitas di seluruh kabupaten/kota. Berdasarkan kesamaan variabel yang signifikan berpengaruh terhadap kriminalitas, terbentuk enam kelompok kabupaten/kota. Kegiatan ini diharapkan dapat mendorong pemanfaatan data terbuka pemerintah secara lebih luas dan meningkatkan kapasitas pemangku kebijakan lokal dalam menggunakan pendekatan statistik untuk perencanaan pembangunan yang lebih responsif dan tepat sasaran.
The Scientific Aspects of the Balinese Wariga Calendar I Made Tirta; I Wayan Windu Sara; Anak Agung Istri Ratnadewi
Jurnal Inovasi Sains dan Teknologi Untuk Masyarakat Vol. 4 No. 1 (2026): Mei
Publisher : Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/instem.v4i1.60005

Abstract

The Balinese Calendar, known as the Wariga Calendar, played a significant role in the religious and cultural life of Hindus, particularly in Bali. It was commonly found in Balinese Hindu households and remained an important reference for Balinese Hindus living outside the island. The Wariga Calendar represented a unique integration of Hindu philosophical values with scientific and mathematical calculations. One of its primary functions was determining the cycles of Hindu holy days and major festivals, including Saraswati, Pagerwesi, Galungan, and Kuningan. The introduction of the Wariga Calendar, especially its scientific and mathematical aspects, was considered important for Hindu Religious Education teachers throughout Indonesia. First, the holy days calculated using the Wariga Calendar had been celebrated by Hindu communities across the Indonesian archipelago, not only by the Balinese ethnic community. Second, only a limited number of Hindu Religious Education teachers outside Bali understood the mathematical principles underlying the calendar system. An introduction to the Wariga Calendar was delivered during a National Technical Guidance Program (Bimbingan Teknis) for Hindu Religious Education teachers held in a hybrid format on 2–3 August 2025. The program involved participants from various regions of Indonesia. The results showed that most participants considered the knowledge valuable for improving their understanding of the cyclical nature of Hindu holy days. Furthermore, many participants recognized that several elements of the Wariga Calendar exhibited mathematical patterns that were closely aligned with the philosophical messages embedded in the calendar, particularly those associated with the Galungan festival.
Co-Authors Abduh Riski Alfian Futuhul Hadi Anak Agung Istri Ratnadewi I Wayan Windu Sara Luckyta Citra Ayu Paramitha Sholikhah, Nining Yuliani Setia Dewi