Sistem Pakar Penentuan Kualitas Jagung Menggunakan Metode Naive Bayes

Purnomo Hadi Susilo, M. Ghofar Rohman, Arief Budi Laksono, Affan Bachri

Abstract


Makanan pokok kaya akan karbohidaran dan dapat digunakan untuk berbagai macam olahan salah satunya adalah jagung. Produksi jagung yang meningkat juga akan berdampak pula terhadap peningkatan pendapatan atau ekonomi masyarakat di Indonesia. Akan tetapi sebagian besar produksi jagung sering mengalami kerusakan dan perlu diperbaiki ketika dipanen khususnya pada waktu musim hujan. Hal inilah yang dapat membuat petani jagung mengalami kegagalan dan penurunan kualitas jagung pada waktu masa panen. Agar petani jagung dapat menilai hasil atau kualitas pertanian jagungnya yang sesuai dengan Standar Nasional Indonesia (SNI), maka diperlukan sebuah sistem pakar untuk menentukan kualitas jagung menggunakan metode Naïve Bayes. Hasil penelitian menunjukkan bahwa penentuan kualitas jagung menggunakan metode Naïve Bayes tergolong sangat baik. Nilai persentase hasil akurasi sebesar 90% pada data testing sebanyak 30 dan data training sebanyak 60. Nilai hasil akurasi sebesar 94% pada data testing sebesar 90 dan 120, data training 100 dan 150. Hal ini menunjukkan bahwa metode Naïve Bayes dapat digunakan dalam menentukan kualitas jagung.

Keywords


Sistem Pakar, Metode Naive Bayes, Kualitas Jagung.

Full Text:

PDF

References


Ely, Nurhayati., Ahmad, Heri, Firdaus. (2023). Future Food Demand in Poor Indonesian Districts.

K, Lubis., Lismaria, Butarbutar. (2022). Genetic diversity analysis of several maize lines (Zea mays L.) developed in acid soil using molecular markers RAPD. IOP Conference Series: Earth and Environmental Science, doi: 10.1088/1755-1315/977/1/012041.

Agil, Renaldy., Edy, Prabowo., Indra, Kusuma., Winarto, Winarto. (2021). Rancang Bangun Mesin Pemipil dan Penghancur Tongkol Jagung. doi: 10.25181/TEKTAN.V12I3.1936.

Tri, Hastini., Irma, Noviana. (2020). Kinerja Teknologi Budidaya Jagung Hibrida di Indonesia. Agrotrop: Journal on Agriculture Science, doi: 10.24843/AJOAS.2020.V10.I02.P03.

Asriani, Asriani., Dhian, Hedhiansyah. (2019). Factors affecting the economic policy of food in indonesia. doi: 10.32833/MAJEM.V8I1.76.

I, Marinelli. (2023). Success of Mutation Breeding of Sorghum to Support Food Security in Indonesia. doi: 10.1007/978-981-16-9720-3_14.

M., Luisa, Haya., Dadang, Sukandar. (2023). Indonesian Grain Production Forecasting, Moving Average Method, and Exponential Smoothing. Agritropica, doi: 10.31186/j.agritropica.6.1.14-21.

Rivanol, Chadry., Ichlas, Nur., Daddy, Budiman. (2022). Rancang Bangun Mesin Pemipil Jagung Menggunakan Sistem Poros Pemipil Dengan Rantai Perontok. Jurnal Teknik Mesin, doi: 10.30630/jtm.15.2.923.

Tissiana, Irca, Nabila. (2022). Review: Penanganan Pengeringan dan Pergudangan Bahan Baku Jagung untuk Pakan Unggas. Jurnal Nutrisi Ternak Tropis dan Ilmu Pakan, doi: 10.24198/jnttip.v4i1.37575.

Adrian, A., Correndo., Javier, A., Fernandez., P., V., Vara, Prasad., Ignacio, A., Ciampitti. (2021). Do Water and Nitrogen Management Practices Impact Grain Quality in Maize. Agronomy, doi: 10.3390/AGRONOMY11091851.

Sandisiwe, Zondo., P., N., Mahlambi. (2022). Soil and irrigation water quality assessment for maize production in Buhle farm in Howick, Kwazulu-Natal province, South Africa. African Journal of Food, Agriculture, Nutrition and Development, doi: 10.18697/ajfand.113.21380.

Haiying, Tao., Thomas, F., Morris., Peter, M., Kyveryga., John, McGuire. (2018). Factors affecting nitrogen availability and variability in cornfields. Agronomy Journal, doi: 10.2134/AGRONJ2017.11.0631.

Gonzalo, Ferreira., A., N., Brown. (2016). Environmental Factors Affecting Corn Quality for Silage Production. doi: 10.5772/64381.

Maryam, Rahimi, Jahangirlou., Gholam, Abbas, Akbari., Iraj, Alahdadi., Saeid, Soufizadeh., David, Parsons. (2020). Grain Quality of Maize Cultivars as a Function of Planting Dates, Irrigation and Nitrogen Stress: A Case Study from Semiarid Conditions of Iran. Agriculture, doi: 10.3390/AGRICULTURE11010011.

Giorgio, Masoero., Gianfranco, Mazzinelli., Carlotta, Balconi., Sabrina, Locatelli., Chiara, Lanzanova., Annamaria, Ardigò., Giusto, Giovannetti., Silvia, Volpato., Marco, Nuti. (2020). Spectroscopic Kernel Quality From A Symbiotic Corn Production. Journal of Automated Reasoning, doi: 10.14302/ISSN.2639-3166.JAR-20-3260.

Usman, Ali., Yuli, Retnani., Anuraga, Jayanegara. (2023). Evaluation of Corn Quality Control Implementation as Feedstuffs in Indonesia. Jurnal Ilmu Nutrisi dan Teknologi Pakan, doi: 10.29244/jintp.21.1.56-62.

Tissiana, Irca, Nabila. (2022). Review: Penanganan Pengeringan dan Pergudangan Bahan Baku Jagung untuk Pakan Unggas. Jurnal Nutrisi Ternak Tropis dan Ilmu Pakan, doi: 10.24198/jnttip.v4i1.37575.

Bambang, Supriyatno. (2017). Perhitungan Ekonomik Budidaya Tanaman Jagung Sistem Pertanian Organik [Economic Calculation of Organic Cultivation of Corn Plantation].

Rondon, Marques, Rosa. (2022). System Dynamics Implementation To Increase The Number Of Organics Maize Level On-Farm Production In Supporting Smart Agriculture (Case Study : East Java, Indonesia). doi: 10.31219/osf.io/6pxjv.

Ahmad, Ubaidillah., Eka, Mala, Sari, Rochman., Doni, Abdul, Fatah., Aeri, Rachmad. (2022). Classification of Corn Diseases using Random Forest, Neural Network, and Naive Bayes Methods. Journal of physics, doi: 10.1088/1742-6596/2406/1/012023.

Lili, Xu., Jinming, Liu., Chunqi, Wang., Zhijiang, Li., Dongjie, Zhang. (2023). Rapid determination of the main components of corn based on near-infrared spectroscopy and a BiPLS-PCA-ELM model.. Applied optics, doi: 10.1364/ao.485099.

Budianto, Budianto., Iskandar, Fitri., Winarsih, Winarsih. (2020). Expert System for Early Detection of Disease in Corn Plant Using Naive Bayes Method: Expert System for Early Detection of Disease in Corn Plant Using Naive Bayes Method.

Alfa, Saleh., Meilinda, Maryam., Khairani, Puspita. (2019). Determination of Corn Quality using the Decision Tree of C 4.5 Algorithm. doi: 10.1109/CITSM47753.2019.8965334.

Dini, Syahfitri., Budi, Serasi, Ginting., Anton, Sihombing. (2022). Expert System To Diagnose Pregnancy Diseases In Women Using Naive Bayes Method. Journal of Information Systems and Technology Research, doi: 10.55537/jistr.v1i2.148.

Sulindawaty., Muhammad, Zarlis., Zakarias, Situmorang., Hengki, Tamando, Sihotang. (2019). Expert System Diagnosis Corn Pests And Diseases Using Certainty Factor Method. doi: 10.1088/1742-6596/1230/1/012063.

Karen, Mite-Baidal., Carlota, Delgado-Vera., Evelyn, Solís-Avilés., Manuel, Jiménez-Icaza., Wilmer, Baque., Mónica, Patricia, Santos-Chico. (2017). Knowledge-Based Expert System for Control of Corn Crops. doi: 10.1007/978-3-319-67283-0_7.

(2023). Expert system for dental diseases. Proceedings of Azerbaijan High Technical Educational Institution, doi: 10.36962/pahtei31082023-23.

Laberiano, Andrade-Arenas., Domingo, Hernández, Celis., Michael, Cabanillas-Carbonell. (2023). Mobile application: expert systems model for disease prevention. Bulletin of Electrical Engineering and Informatics, doi: 10.11591/eei.v12i5.5224.

Tambun, Sihotang., David, A., Landgrebe. (2023). Expert system approach to improve the accuracy of prediction and solution of various agricultural scenarios. doi: 10.35335/idea.v1i1.5.

Dmitry, Surinsky. (2023). Application of expert systems in tasks modeling and evaluation of protective measures against pests (insects, rodents, birds) at agribusiness facilities. Agroèkoinfo, doi: 10.51419/202132243.

Yunus, Kayir., Hakan, Dilipak. (2023). An Expert System for Bolt Selection. INTERNATIONAL JOURNAL OF INFORMATICS TECHNOLOGIES, doi: 10.17671/gazibtd.1195078.

Polina, Nechaeva., Gulnara, Yusupova. (2023). Expert system for managing data on the competencies of a modern manager. Вестник университета, doi: 10.26425/1816-4277-2023-1-36-47.

S., Pantja, Djati., Suyono, Thamrin., Herlina, Juni, Risma, Saragih., Hendy, Risdianto, Wijaya. (2023). Review of management information systems using expert systems in internal control for indonesia's bureaucratic reform. Jurnal Pilar Nusa Mandiri, doi: 10.33480/pilar.v19i2.4182.

Pelsri, Ramadar, Noor, Saputra. (2023). Sistem Pakar Psikologi Perkembangan Anak Menggunakan Algoritma Cosine. Jikom : Jurnal Informatika dan Komputer, doi: 10.55794/jikom.v13i1.97.

Mas'ud, Effendi., M, Jannah., Usman, Effendi. (2019). Corn quality identification using image processing with k-nearest neighbor classifier based on color and texture features. doi: 10.1088/1755-1315/230/1/012066

М., Ya., Kyrpa., Т., М., Lukianenko. (2022). Influence of technical and technological indicators on the harvest and post-harvest processing seeds of maize hybrids. Зернові культури, doi: 10.31867/2523-4544/0182

Sifc, Rodrigues., José, Henrique, Stringhini., Aml, Ribeiro., GC, Pontalti., Concepta, McManus., Concepta, McManus. (2014). Quality assessment of corn batches received at a feed mill in the brazilian cerrado. Brazilian Journal of Poultry Science, doi: 10.1590/1516-635X1603233-240.

O., Ileri., Emre, Kara., Şule, Erkovan., Mustafa, Sürmen., H., Ibrahim, Erkovan., Ali, Koç. (2022). Silage Quality of Corn Grown at Different Weed Densities. Turkish journal of range and forage science, doi: 10.51801/turkjrfs.1092563

Midhat, Glavić., Amir, Zenunović., Amel, Hasic., Sabahudin, Tahmaz. (2020). Control of Corn Silage Quality on Farms for Milk Production in Kalesija area and Influence Climate Conditions on the Quality and Yield of Corn Silage. doi: 10.31033/IJRASB.7.6.1

Ayşe, Semra, Aksoy., Murat, Tasan. (2021). Effect of Chemical Refining Steps on the Some Micro and Macro Element Content and Quality Parameters in Corn Oil. Turkish Journal of Agriculture: Food Science and Technology, doi: 10.24925/TURJAF.V9I6.982-990.3919

A., Arrahman., Hishar, Mirsam., Nurasiah, Djaenuddin., Suriani., S., R., Pakki., M., S., Saenong., Amelia, Sebayang. (2022). An in-depth study on Sitophilus zeamais Motsch (Coleoptera: Curculionidae) pests on corn plants. IOP conference series, doi: 10.1088/1755-1315/1107/1/012060.

[42] Linda, J., Mason. (2019). Effect and Control of Insects, Molds and Rodents Affecting Corn Quality. doi: 10.1016/B978-0-12-811971-6.00008-5

Daniel, Lowd., Pedro, Domingos. (2005). Naive Bayes models for probability estimation. doi: 10.1145/1102351.1102418

S., L., Ting., Wai, Hung, Ip., Albert, Tsang. (2011). Is Naïve bayes a good classifier for document classification. International Journal of Software Engineering and its Applications,

Irina, Rish. (2001). An empirical study of the naive Bayes classifier.

Haiyi, Zhang., Di, Li. (2007). Naïve Bayes Text Classifier. doi: 10.1109/GRC.2007.104

Agustina, D. A., & Rahmah, F. (2022). Analisis Sentimen pada Sosial Media Twitter terhadap MRT Jakarta Menggunakan Machine Learning. Insearch: Information System Research Journal, 2(01), 1-6.




DOI: https://doi.org/10.15548/isrj.v4i02.9280

Refbacks

  • There are currently no refbacks.


Gedung Fakultas Sains dan Teknologi 
Kampus III Universitas Islam Negeri Imam Bonjol Padang
Sungai Bangek, Kec. Koto Tangah, Kota Padang, Sumatera Barat

Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.