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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Sisfokom (Sistem Informasi dan Komputer) Query : Jurnal Sistem Informasi JISTech (Journal of Islamic Science and Technology) Jurnal Teknologi Sistem Informasi dan Aplikasi JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknologi Informasi dan Multimedia Journal of Information Systems and Informatics Journal of Computer Networks, Architecture and High Performance Computing Journal of Dinda : Data Science, Information Technology, and Data Analytics Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Jurnal IPTEK Bagi Masyarakat Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Sistem Pendukung Keputusan dengan Aplikasi Innovative: Journal Of Social Science Research JS (Jurnal Sekolah) Indonesian Journal of Multidisciplinary on Social and Technology Jurnal Ilmiah Multidisiplin Indonesia Bigint Computing Journal Jurnal Teknik Informatika dan Teknologi Informasi
Triase Triase
Universitas Islam Negeri Sumatera Utara
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Other

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Journal : bigint computing journal

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Android Geographic Information System with AHP for Strategic MSME Location Selection Ami Amanda; Triase Triase
Bigint Computing Journal Vol 4 No 2 (2026)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v4i2.1851

Abstract

Strategic site selection for micro, small, and medium enterprises (MSMEs) requires transparent assessment of spatial and operational criteria. This study develops an Android geographic information system integrating the Analytic Hierarchy Process (AHP) and OpenStreetMap to screen 30 locations across 25 sub-districts in Asahan Regency, Indonesia. Five criteria were defined from literature, field observation, and consultation with one local-government practitioner. Accessibility received the highest weight (0.3333), followed by safety and comfort (0.2667), proximity to crowds (0.2000), infrastructure (0.1333), and local resources (0.0667). Sekitar Stasiun Kisaran ranked first (0.0391), only 0.0004 above the next two alternatives. The system links numerical priorities with interactive mapping and provides an auditable mobile workflow for preliminary location screening. However, CR = 0.000 results from deterministic ratio construction, not broad expert consensus, and the ranking should not be interpreted as a causal prediction of business performance.
Streamlit-Based Durian Yield Forecasting Using an ARIMA Model Nurul Ifkah Lolona Silalahi; Triase Triase
Bigint Computing Journal Vol 4 No 2 (2026)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v4i2.1852

Abstract

Durian production in Dairi Regency, North Sumatra, fluctuates substantially across quarters, creating uncertainty for harvest planning and distribution. This study develops a lightweight decision-support system that integrates an AutoRegressive Integrated Moving Average (ARIMA) forecasting pipeline with a Streamlit web application. The source dataset contains 41,060 agricultural harvest records from 2020–2024, aggregated into 20 quarterly regional observations. The raw series was non-stationary according to the Augmented Dickey–Fuller test (ADF = −0.449, p = 0.901), while first-order differencing produced a stationary series (ADF = −4.120, p = 0.0009). Automated model search selected ARIMA (4,0,1), with AIC = 401.649 and BIC = 407.624. A chronological 80/20 holdout evaluation on the four quarters of 2024 produced an RMSE of 1.16 tons, MAE of 1.15 tons, and MAPE of 4.33%, recalculated from the reported quarter-level forecasts. The Streamlit implementation integrates data management, stationarity diagnosis, automated parameter selection, and forecast visualization. The results indicate that an interpretable ARIMA baseline can provide useful short-horizon regional forecasts when historical data are limited, although the short series requires cautious generalization and further validation.
Co-Authors Abdul Aziz Khusen Adnan Buyung Nasution Afira Zulfa Agita Pratiwi Ahmad Fikri Saragih Ahmad Syarif Alwi Awilo Haryada Ami Amanda Aninda Muliani Bagus Setiawan Denni Anggraeni Diana Putri Harahap Dio Wahyu Habibi Hutabarat Dwi Yanti Laily Eka Pratiwi Fahira Khalisyah Risqullah Fahmi Dian Pratama Fauzy Afny Ulwanda Fitri Rizky Taravita Hairul Amri Ifrah Ayyuna Ilham Mahesa Ilka Zufria Imam Adlin Sinaga Iqbal Maulana Syahputra Khairin Nadia Lia Priastiwi Mega Andriani Miftahul Jannah Mohammad Badri Muhamad Alda Muhammad Siddik Hasibuan Nadila Alya Rahmah Nurul Ifkah Lolona Silalahi Rahmat Juniarif Zendrato Raissa Amanda Putri Rakhmat Kurniawan R Rani Antika Lubis Rima Aprilia Rizky Azwar Alfandi Simare Mare Samsudin, Samsudin Sarah Rao Septia Ona Sutra Septiana Dewi Andriana, Septiana Dewi Sinta Dara Efita Siti Afzalena Suendri, Suendri Tasya Annisa Ulfa Fadilah Ulfia Zahra Yulisa Nanda Pratiwi