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Konsep Finite State Machine dan implementasinya pada Game Asrianda, Asrianda; Zulfadli, Zulfadli
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 6 No. 1 (2022): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2022
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v6i1.8352

Abstract

Game merupakan  sesuatu yang digunakan untuk bermain yang dimainkan dengan aturan-aturan tertentu. Penerapan FSM banyak digunakan dalam gameuntuk mendapatkan variasi respon NPC (Non Playable Charackter) antar pemain pada sebuah game. Sistem melakukan aksi yang sama pada state sampai sistem menerima event, baik berasal dari perangkat luar atau komponen sistem itusendiri. Setiap state terhubung oleh transisi yang mengarah ke satu state lainnya.  Dalam Game ini proses FSM berjalan dengan mendapatkan aturan jika misiterselesaikan atau quest terpenuhi, maka akan berpindah state ke level berikutnya, dan apabila misi tidak terselesaikan atau quest tidak terpenuhi makan akan tetap pada state awal. NPC diprogram untuk melakukan tugas atau peran tertentu kepada pemain dengan memberikan misi, atau membantu dalam pertempuran atau sekedar berjalan-jalan untuk memberikan ramainya suasana.
Klasterisasi Data Stunting Pada Balita Di Puskesmas Xyz Dengan Menggunakan Metode Mixture Modelling Delianda, Anggun; Asrianda, Asrianda; Fitri, Zahratul
JURIKOM (Jurnal Riset Komputer) Vol 12, No 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8580

Abstract

This research is motivated by the high prevalence of stunting in Indonesia, reflecting nutritional imbalances in early childhood. To address this issue, an information technology approach is employed to identify at-risk infant groups. The analyzed data consists of anthropometric information, including height, weight, and age of infants, collected from the Peusangan Health Center. The applied method is the Gaussian Mixture Model (GMM) with the Expectation-Maximization algorithm to cluster the data into two groups: "Potential Stunting" and "Not Stunting." The research results indicate that several Posyandu and villages have notably high potential stunting rates, such as Posyandu Bungong Seulanga (141 infants) and Pante Gajah village (116 infants), with a higher prevalence among male infants (34.67%) and those aged 52–60 months (24.18%). Model evaluation using a confusion matrix on 1,465 data points showed a True Positive of 958 (65.36%), False Negative of 4 (0.27%), False Positive of 503 (34.33%), and True Negative of 0 (0%), with an accuracy of 65.36% and an error rate of 34.64%. However, a previous accuracy test on 1,665 data points only achieved 34.55%, indicating unsatisfactory individual prediction performance. In conclusion, Mixture Modelling is effective for clustering and identifying at-risk groups but lacks accuracy in individual predictions, with a bias toward the "Potential Stunting" class that requires improvement in future research.
Forecasting of Palm Oil CPO Production Results at PTPN III Batang Toru Plantation Using The Autoregressive Integrated Moving Average Method Utari, Sylva Putri; Asrianda, Asrianda; Retno, Sujacka
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December (In Progress)
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.254

Abstract

The increasing demand for palm oil as a raw material for food and energy industries has driven the need for accurate forecasting methods to optimize palm oil production management. This study aims to forecast Crude Palm Oil (CPO) production at PTPN III Batang Toru Plantation using the Autoregressive Integrated Moving Average (ARIMA) method. Monthly time series data from January 2020 to January 2024, including Fresh Fruit Bunches (FFB), loose fruit, and CPO yields, were analyzed to build the forecasting model. The Augmented Dickey-Fuller (ADF) test confirmed that the data is stationary without differencing. Based on the ACF, PACF, and white noise tests, the ARIMA(1,0,1) model was identified as the best fit. The forecasting results indicated a potential increase in CPO production from January 2025 to December 2026. However, alternative models like CPOF showed poor accuracy, with a high MAPE of 442.12%, suggesting the need for further model refinement. Despite limitations, the ARIMA method remains effective for short-term forecasting and supports data-driven decision-making in the plantation sector.
Stunting Risk Detection and Food Recommendation via Maternal Diagnosis Using the CF Method Kautsar, Al; Asrianda, Asrianda; Afrillia, Yesy
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9949

Abstract

Stunting in children often stems from maternal health conditions during pregnancy. This study aims to develop an intelligent rule-based IF–THEN system using the Certainty Factor method as a decision-support tool for the early detection of stunting risk factors. The detection is performed indirectly by diagnosing maternal health conditions during pregnancy. The knowledge base was constructed through interviews with obstetricians and nutritionists, encompassing 20 symptoms categorized into three primary conditions namely Chronic Energy Deficiency (CED), anemia, and preeclampsia. A total of 119 pregnant women from 11 villages in Muara Satu District participated as respondents. Implementation results revealed that among the respondents, 20 were identified with CED, 96 had anemia, and 3 exhibited signs of preeclampsia. Based on Certainty Factor (CF) calculations, the confidence distribution for CED included 2 respondents with CF <50%, 5 respondents within the 50–80% range, and 13 respondents with CF >80%. For anemia, 1 respondent had a CF value <50%, 4 fell within the 50–80% range, and 91 respondents had CF values above 80%. Meanwhile, for preeclampsia, all respondents exceeded the 50% CF threshold, with 1 respondent in the 50–80% range and 2 respondents >80%. In addition to diagnosis, the system provides tailored meal recommendations (breakfast, lunch, and dinner) based on the identified health conditions. Expert validation indicated a 90% agreement rate. However, results still require confirmation through clinical examinations and consultations to ensure medical accuracy.
Perbandingan Multifaktor Evaluation dan Fuzzy Analytic Hierarchy Process pada Kualitas Biji Kopi Meiyanti, Rini; Asrianda, Asrianda; Azmi, Win
Jurnal Teknik Informatika dan Sistem Informasi Vol 11 No 2 (2025): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v11i2.9741

Abstract

The development of information technology in the agricultural sector is crucial, including in determining coffee bean quality. This research implements a comparison of decision support systems (DSS) using the Multifactor Evaluation Process (MFEP) and Fuzzy Analytic Hierarchy Process (FAHP) methods to assess coffee bean quality based on moisture content, Trase, defects, color, aroma, and bean size. The results show that FAHP has an accuracy of 77%, higher than MFEP with an accuracy of 71%. Thus, FAHP is more effective in determining the farmers with the best coffee beans, thereby helping to improve the economic well-being of farmers and cooperatives.
Silat Perisai Diri sebagai Upaya Penguatan Karakter dan Kesehatan Masyarakat Asrianda, Asrianda; Wibowo, Patmono; Zulfadli, Zulfadli; ZA , Nasrul
Jurnal Malikussaleh Mengabdi Vol. 4 No. 1 (2025): Jurnal Malikussaleh Mengabdi, April 2025
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Silat Perisai Diri sebagai aliran Pencak Silat berfungsi sebagai seni bela diri, tetapi menjadi warisan budaya sarat nilai filosofis, spiritual, dan edukatif. Pengabdian masyarakat melalui pelatihan silat Perisai Diri dilaksanakan sebagai upaya pelestarian budaya sekaligus pembinaan generasi muda. Metode kegiatan dilakukan melalui pelatihan terstruktur dengan pendekatan integratif antara aspek fisik, mental, dan karakter. Hasil pelatihan menunjukkan peningkatan signifikan pada kebugaran fisik, ketangguhan mental, disiplin, rasa hormat, dan kemampuan teknis peserta. Kegiatan dilakukan berkontribusi pada penguatan identitas budaya, kohesi sosial, dan peningkatan motivasi remaja untuk terlibat dalam aktivitas positif, termasuk kompetisi bela diri. Dukungan masyarakat sekitar serta respons positif dari peserta menegaskan program dilakukan relevan dan berpotensi berkelanjutan. Silat Perisai Diri terbukti sebagai sarana bela diri, instrumen pendidikan karakter, kesehatan, dan pelestarian budaya dapat diintegrasikan dalam strategi pengembangan masyarakat berkelanjutan. Kkegiatan pengabdian dapat diperluas melalui sinergi dengan lembaga pendidikan formal maupun nonformal, silat Perisai Diri dapat terintegrasi ke dalam kurikulum ekstrakurikuler sekolah maupun program pembinaan pemuda di tingkat komunitas. Pendekatan dilakukan diharapkan tidak hanya memperkuat aspek fisik dan keterampilan bela diri, tetapi membentuk generasi yang memiliki ketangguhan karakter, kepedulian sosial, serta kecintaan terhadap budaya bangsa. Dukungan berkelanjutan pemerintah daerah, organisasi budaya, dan pihak swasta dapat memperkuat ekosistem pelatihan lebih luas, baik dalam bentuk fasilitas, pendanaan, maupun promosi kegiatan. Dengan adanya jejaring kolaborasi yang solid, pengembangan silat Perisai Diri sebagai warisan budaya sekaligus media pembentukan karakter semakin kokoh, memberi dampak nyata bagi ketahanan budaya nasional dan kualitas sumber daya manusia di era globalisasi.