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Journal : journal of advanced computer knowledge and algorithms

The Use of Brown's Double Exponential Smoothing Method to Predict Harvest Yields in Horticultural Crops Mutiara, Mutiara; Fuadi, Wahyu; Maryana, Maryana
Journal of Advanced Computer Knowledge and Algorithms Vol 1, No 4 (2024): Journal of Advanced Computer Knowledge and Algorithms - October 2024
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v1i4.17806

Abstract

Agriculture stands as a pivotal sub-sector within the economy of North Aceh. Among its primary commodities are horticultural crops, encompassing the cultivation of vegetables, fruits, medicinal plants, and ornamental flora. In endeavors to boost agricultural productivity and efficiency, the utilization of harvest prediction methodologies has grown increasingly indispensable. This study relies on historical harvest data spanning from 2017 to 2022 to forecast crops such as leafy greens, fruits, and medicinal plants. The selected plants for prediction include spinach, water spinach, cucumber, banana, durian, rambutan, ginger, lesser galangal, and turmeric. Data analysis employs Brown's double exponential smoothing method, selecting the α (alpha) parameter that minimizes the Mean Absolute Percentage Error (MAPE) for accurate forecasting. Spinach is anticipated to yield 1239.9508 quintals, with an α (alpha) parameter of 0.9 and a MAPE of 38.46%. Water spinach is forecasted to yield 2069.75 quintals, with an α (alpha) parameter of 0.5 and a MAPE of 18.14%. Cucumber is projected to yield 1023.22432 quintals, with an α (alpha) parameter of 0.4 and a MAPE of 31.51%. Consequently, the highest projected yield is for water spinach at 2069,75 quintals.
Devayan Language Translator Dictionary Application Using the Levenshtein Distance Method on Android Faturrahman, Puja; Ardian, Zalfie; Maryana, Maryana
Journal of Advanced Computer Knowledge and Algorithms Vol. 2 No. 2 (2025): Journal of Advanced Computer Knowledge and Algorithms - April 2025
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v2i2.20124

Abstract

Indonesia is a country with a rich diversity of regional languages. Language is the primary tool of human communication, serving as a means to establish social relationships in daily life and as a medium for conveying information. One of the regional languages in Indonesia is Devayan, the native language of the people in Simeulue Regency. This language is used as a daily communication medium by the local residents. As one of Indonesia's archipelagic regions, Simeulue Island has various tourism potentials that attract tourists, workers, and students from outside the region. However, communication barriers often occur when visitors to Simeulue Island face difficulties interacting with the local community. Additionally, the language is gradually fading with the passage of time, as many young generations on Simeulue Island now have limited understanding of their regional language. Therefore, a dictionary application is needed to translate vocabulary from Devayan to Indonesian and vice versa. The Levenshtein Distance method is applied to the application's search feature, which has proven capable of correcting errors in input words and suggesting the closest words to users with an accuracy rate of 80.95%.
Comparison of the K-Nearest Neighbor and Random Forest Methods in Classifying the Best Selling Medicines at Khan Pharmacy Matang Glumpang Dua Anya Regina Putri; Rozzi Kesuma Dinata; Maryana
Journal of Advanced Computer Knowledge and Algorithms Vol. 3 No. 2 (2026): Journal of Advanced Computer Knowledge and Algorithms - April 2026
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v3i2.25183

Abstract

Khan Matang Glumpang Dua Pharmacy faces difficulties in analyzing drug sales patterns that affect inventory efficiency and customer satisfaction. The need to anticipate demand and reduce the risk of stockouts or excess stock requires an effective classification system for best-selling drugs. This study aims to test the K-Nearest Neighbor (KNN) and Random Forest methods to perform and find the best classification model. The data used in this study consisted of 382 data points. This study compared two classification models on pharmacy sales data. The K-Nearest Neighbor (KNN) model was tested using the parameter k=3, while the Random Forest model was tested with 100 trees and a max depth of 5. The results showed that the KNN and Random Forest (RF) algorithms. The Random Forest (RF) model outperformed KNN on all metrics: RF achieved an Accuracy and F1-Score of 94.81%, while KNN recorded an Accuracy of 93.51% and an F1-Score of 93.44%.
Co-Authors Ahmad Fauzi Abdillah Aklimawati Aklimawati, Aklimawati Angga Pratama Annisa Afrilia Zahra Annisa Anya Regina Putri Arief Rahman Aryandi, Aryandi Ayuni, Novita Cut Ita Erliana Dahlan Abdullah darnila eva Daud, Eva Darnila Defi Irwansyah Dema Yulianto E. Elwina EDI YUSUF, EDI Effan Fahrizal Eka Yuliana Fatimah Erna Isfayani Eva Darnila Ezwarsyah Ezwarsyah Ezwasyah, Ezwasyah Fadlisyah Fadlisyah Fadlisyah Fajriana, Fajriana Fardiansyah, T. fatimah Fatimah Faturrahman, Puja Fauzi, Alfi Fuadi, Wahyu Haves Qausar Hayatun Nufus Ilyana, Anis Ismiaton Fitria Iwan Pahendra Jasiah Khairunnisa Khairunnisa Khalid Mawardi Lis Ayu Widari, Lis Ayu Listiana, Yeni Marhami, Marhami Marlina Sari Martunis Maulida, Leni Meriatna Meriatna Muhammad Arrayyan Muhammad Azmi, Muhammad Muhammad Daud Muhammad Fadhil Muhammad Muhammad Muhammad Ridhwan Muhammad Zakaria muli ani Munawarah Munawarah, Munawarah Mursalin . Muthmainnah Muthmainnah mutiara mutiara Nadya Raudathul Sofa Ndari, Wulan Novi Sylvia Nur Elisyah Nurdin Nurdin Nurdin Nurdin Olanda, T.M.Riski Raihan Putri Rini Meiyanti Rohantizani, Rohantizani Rozi Kesuma Dinata Rozzi Kesuma Dinata Safwandi Safwandi Sahputra, Ilham Said Fadlan Anshari salamah salamah Sari, Riska Kumala Sinambela Marzuki Siti Hajar Sofyan, Diana Khairani Sri Meutia Sugeng - Sujacka Retno Sumarni Rumfot Syibral Malasyi, Syibral Syukriah Syukriah, Syukriah Taufiq Taufiq Ulfi Zahara Ulia, Rahmatul Wahyu Fuadi Wahyu Fuadi Wanrice, Mabrur Wulandari Wulandari Yazid Bindar Yovi Chandra Zalfie Ardian Zara Yunizar Zarkasyi Zarkasyi Zuraida Zuraida