Jurnal Buana Informatika最新文献

{"title":"Sistem Prediksi Penjualan Frozen Food dengan Metode Monte Carlo (Studi Kasus: Supermama Frozen Food)","authors":"Eka Larasati Amalia, Yoppy Yunhasnawa, Anindya Refrina Rahmatanti","doi":"10.24002/jbi.v13i02.6496","DOIUrl":"https://doi.org/10.24002/jbi.v13i02.6496","url":null,"abstract":"Abstract. Frozen Food Sales Prediction System Case Study of Supermama Frozen Food Using the Monte Carlo Method. Frozen processed food is increasingly popular, so frozen food stores are getting easy to find. Supermama Frozen Food is a store that sells a variety of frozen foods. Not all frozen food stocks can get sold out before their expiration dates. This causes the store's profits to decrease. Therefore, a frozen food sales prediction system was necessarily made to help the store estimate its stock to minimise store losses. The research method used in predicting sales was the Monte Carlo method. Testing methods used were accuracy and MAPE. The test results of using accuracy were 89.66%, and MAPE error accuracy test showed 12.6%. Based on the results, it is concluded that the Monte Carlo method can predict frozen food sales.Keywords: forecasting, frozen food, Monte Carlo, sales prediction\u0000Abstrak. Makanan yang diolah dengan cara dibekukan semakin digemari masyarakat sehingga toko makanan beku menjadi mudah ditemui. Supermama Frozen Food merupakan salah satu toko yang menjual aneka makanan beku. Tidak semua stok makanan beku terjual habis hingga masa konsumsi berakhir. Hal tersebut membuat keuntungan toko menurun. Oleh karena itu di buatlah sistem prediksi penjualan makanan beku yang dapat mengestimasi stok sehingga meminimalisir kerugian toko. Metode yang digunakan dalam memprediksi penjualan yaitu metode Monte Carlo. Pengujian metode yang digunakan yaitu akurasi dan MAPE. Hasil pengujian menggunakan akurasi ialah 89.66% dan pengujian akurasi error MAPE menghasilkan nilai 12.6%. Berdasar hasil pengujian metode tersebu, metode Monte Carlo disimpulkan dapat digunakan dalam prediksi penjualan frozen food.Kata Kunci: forecasting, frozen food, Monte Carlo, prediksi penjualan.","PeriodicalId":381749,"journal":{"name":"Jurnal Buana Informatika","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129762423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Model Berbasis Aturan untuk Transliterasi Bahasa Jawa dengan Aksara Latin ke Aksara Jawa","authors":"A. W. Mahastama","doi":"10.24002/jbi.v13i02.6526","DOIUrl":"https://doi.org/10.24002/jbi.v13i02.6526","url":null,"abstract":"Abstract. Rule-Based Model for Javanese Language Text Transliteration from Latin to Javanese Script. Computer technologies today have reached an applicable level to aid with language learning and translation. These technologies should also be helpful in learning traditional languages that are getting forgotten due to globalisation. With its rich cultural diversity, Indonesia facesthe same fate asits regional languages. Javanese, for example, is declining in its proper usage in written and spoken language. This research aims to provide a rule-based model for transliterating Javanese words written in Latin to Javanese script using Unicode. The model is based on extracted rules in writing the script to make it possible to be used as a model for other similar Nusantara scripts. The model yields 96,44% accuracy rate, which is adequate to provide decent transliteration for basic Javanese language learners and is open for additional rules to improve its ability to transliteratemore complex structures, contexts, as well rules for different Nusantara languages. Keywords: Rule-based model, Syllabification, Transliteration, Javanese\u0000Abstrak. Teknologi komputer masa kini telah mencapai kemajuan yang dapat membantu pembelajaran dan penerjemahan bahasa. Teknologi ini selayaknya juga dapat dimanfaatkan untuk membantu pelestarian bahasa-bahasa daerah yang semakin terlupakan. Indonesia dengan berbagai suku bangsanya juga menghadapi masalah dengan menurunnya penggunaan bahasa daerah, misalnya Bahasa Jawa. Penelitian ini mengusulkan sebuah model berbasis aturan untuk alih aksara teks berbahasa Jawa dari aksara Latin ke aksara Jawa Unicode. Model ini didasarkan pada ekstraksi aturan penulisan aksara Jawa, dengan harapan agar dapat digunakan sebagai model transliterasi bahasa-bahasa Nusantara yang serupa. Hasil uji dengan tingkat akurasi sebesar 96,44% menunjukkan bahwa model ini mampu melakukan transliterasi untuk pembelajar aksara Jawa dasar, mudah diduplikasi dan dapat dikembangkan untuk menyempurnakan kemampuannya untuk mengenali sruktur dan konteks yang lebih kompleks.Kata Kunci: Model berbasis aturan, Silabifikasi, Transliterasi, Bahasa Jawa.","PeriodicalId":381749,"journal":{"name":"Jurnal Buana Informatika","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126011663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisis Usability Menggunakan Metode Heuristic Evaluation dan Web Usability Evaluation Tool pada Website ACC Career","authors":"Findra Kartika, Sari Dewi, Yonathan Dri Handarkho, Felcia Veronica Prasetyo","doi":"10.24002/jbi.v13i02.6488","DOIUrl":"https://doi.org/10.24002/jbi.v13i02.6488","url":null,"abstract":"Abstract. ACC Career website is a website from PT. Astra Credit Companies which aims for work applications. The website has been around for a long time but has never been updated. Recently, ACC has been revamping the website. Before the new website is launched, a usability evaluation is carried out using the heuristic evaluation and WEBUSE methods which aims to determine the website usability assessment for both the old and the new user interface. Usability is said to be good if users find it easy, happy and satisfied using the system. The heuristic evaluation method brings out problems in the system and recommendations for improvement from the evaluator. The Web Usability Evaluation Tool brings out usability levels based on the assessment of the questionnaire respondents. From the old website, the evaluator found 48 problems and the usability level obtained from the respondents' answers were Good for all categories. From the new website, the evaluators found 42 issues and the usability level was evenly divided between Good and Excellent.Keywords: Revamp, Website, Usability, Heuristic Evaluation, WEBUSE.\u0000Abstrak. Website ACC Career merupakan website dari PT. Astra Credit Companies (ACC) yang bertujuan untuk pengaplikasian pekerjaan. Website ini sudah ada sejak lama tetapi belum pernah ada pembaharuan. Baru-baru ini ACC sedang melakukan pengembangan ulang (revamp) website tersebut. Sebelum produk baru diluncurkan, diadakan evaluasi usability menggunakan metode Heuristic Evaluation dan WEBUSE yang bertujuan untuk mengetahui penilaian usability website baik untuk tampilan lama maupun tampilan yang sedang dikembangkan. Usability dikatakan baik jika pengguna mudah, senang, dan puas menggunakan sistem. Metode Heuristic Evaluation menghasilkan permasalahan yang ada pada sistem dan rekomendasi perbaikan dari evaluator. Metode Webuse menghasilkan tingkat usability berdasarkan penilaian responden kuisioner. Pada tampilan lama, evaluator menemukan 48 permasalahan dan level usability yang didapat dari jawaban responden adalah Good untuk seluruh kategori. Pada tampilan baru, evaluator menemukan 42 permasalahan dan level usability terbagi rata antara Good dan Excellent.Kata Kunci: Revamp, Website, Usability, Heuristic Evaluation, WEBUSE.","PeriodicalId":381749,"journal":{"name":"Jurnal Buana Informatika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133805161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pengolahan Citra Digital pada Pembuatan Motif Keramik Menggunakan Grup Simetri","authors":"Steven Ray, Yessica Nataliani","doi":"10.24002/jbi.v13i1.5499","DOIUrl":"https://doi.org/10.24002/jbi.v13i1.5499","url":null,"abstract":"Abstract. Digital Image Processing in Making Ceramic Patterns Using Symmetry Groups. The large number of requests for ceramic motifs makes ceramic craftsmen have to create a new and fast ceramic motif design idea. The generation of patterns on ceramic motifs digitally can be used by ceramic craftsmen. This study discusses the pattern of ceramic patterns using digital image processing with digital applications. The ceramic pattern design is made with a symmetrical pattern by the process of translation, rotation, reflection, and sliding reflection. The purpose of this research is to develop various ceramic patterns by applying symmetrical groups as motif designs on ceramics. The application is expected to make it easier for designers to find or create new designs from a basic pattern or what is commonly called a unit pattern or unit grid. The results obtained from this study are 17 patterns from 17 symmetric groups originating from one basic pattern. The combination of several patterns is also formed from the symmetry group into a new, more varied pattern.Keywords: Symmetric Group, Ceramic, Crystallography, Transformation.\u0000Abstrak. Banyaknya permintaan motif keramik membuat pengrajin keramik harus menciptakan sebuah ide desain motif keramik yang baru dan cepat. Pembangkitan pola pada motif keramik secara digital dapat digunakan oleh para pengrajin keramik. Penelitian ini membahas pola motif keramik menggunakan pengolahan citra digital dengan aplikasi digital. Desain motif keramik tersebut dibuat dengan pola simetris dari proses translasi, rotasi, refleksi, dan refleksi luncur. Tujuan penelitian ini adalah mengembangkan berbagai macam pola keramik dengan menerapkan grup simetris sebagai desain motif pada keramik. Aplikasi diharapkan dapat memudahkan para desainer untuk menemukan atau menciptakan desain-desain baru dari sebuah pola dasar atau yang biasa disebut pola satuan atau kisi satuan. Hasil yang didapat dari penelitian ini berupa 17 pola dari 17 grup simetri yang berasal dari satu pola dasar. Gabungan beberapa pola juga dibentuk dari grup simetri menjadi pola baru yang lebih bervariasi. Kata Kunci: Grup Simetris, Keramik, Kristalografi, Transformasi.","PeriodicalId":381749,"journal":{"name":"Jurnal Buana Informatika","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127051413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementasi Deep Learning pada Sistem Klasifikasi Hama Tanaman Padi Menggunakan Metode Convolutional Neural Network (CNN)","authors":"Susi Yuliany, Andi Nur Rachman","doi":"10.24002/jbi.v13i1.5022","DOIUrl":"https://doi.org/10.24002/jbi.v13i1.5022","url":null,"abstract":"Hama menjadi serangan utama tanaman, khususnya tanaman padi. Dalam melakukan pengendalian hama, sebagian besar petani melakukan aplikasi insektisida secara tidak bijaksana sehingga mengakibatkan terbunuhnya organisme bukan sasaran. Beberapa peneliti telah mencoba mengklasifikasi kerusakan pada tanaman alih-alih mengklasifikasikan hama itu sendiri.  Oleh karena itu, dengan mengklasifikasikan jenis hama pada tanaman padi memungkinkan petani melakukan penanganan sesegera mungkin pada tanaman padi sesuai jenis hama yang menyerangnya. Metode Convolutional Neural Network (CNN) banyak digunakan dalam image processing karena tingkat akurasinya yang tinggi dan lebih baik dalam pengenalan gambar. Metode CNN pada beberapa penelitian mengalami masalah overfitting. Penelitian ini mengusulkan penerapan tiga jenis pembagian data training dan data testing juga penggunaan penggunaan beberapa parameter yang berfungsi mengurangi masalah overfitting. Berdasarkan evaluasi, pembagian data 90%:10% adalah pembagian data yang paling cocok untuk dataset dan arsitektur yang digunakan dengan akurasi training 83,02%, 78,30%, dan 81,13%. Nilai akurasi pengujian dari ketiga model tersebut yaitu 69,33%, 77,33%, dan 76%..","PeriodicalId":381749,"journal":{"name":"Jurnal Buana Informatika","volume":"572 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134272764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tingkat Kesulitan Adaptif pada Android Game bertema Flora Fauna Endemik Indonesia dengan Fuzzy Logic","authors":"A. Rizal, Yani Parti Astuti, Abas Setiawan","doi":"10.24002/jbi.v13i1.4946","DOIUrl":"https://doi.org/10.24002/jbi.v13i1.4946","url":null,"abstract":"Abstract. Adaptive Difficulty Level on Android of Indonesian Endemic Plants and Animals with Fuzzy Logic. The education of protecting endemic plants and animals in Indonesia requires the raising public awareness. One attempt is to develop an interactive digital games application. However, not all games are interesting to play. High boredom and frustration zones are also caused by the game content and level repetition that are not suitable for children's playing level. In this study, an Android-based educational game with theme Indonesian endemic plants and animals has been created with an adaptive level of difficulty according to the player's ability. The game mechanism is card gameslike with artificial intelligence using Sugeno Fuzzy logic which can automatically estimate the game level by drawing the card type at the game according to the player's ability. The results show that Sugeno Fuzzy made 35 correct decisions and 15 false decisions from 50 trials.\u0000Keywords: animals and plants, game, adaptive difficulty, fuzzy, testing\u0000Abstrak. Edukasi untuk melindungi flora dan fauna endemik di Indonesia diperlukan untuk menumbuhkan kesadaran bagi masyarakat. Salah satunya dengan aplikasi dari game digital yang interaktif. Namun, tidak semua game menarik untuk dimainkan. Zona bosan dan zona frustasi yang tinggi juga disebabkan karena pengulangan kasus dan tingkat permainan yang kurang sesuai dengan kemampuan bermain anak-anak. Pada penelitian ini diciptakan suatu game edukasi berbasis Android bertema flora dan fauna endemik Indonesia dengan tingkat kesulitan yang adaptif sesuai kemampuan pemain. Mekanisme game yang dibuat seperti game kartu dengan kecerdasan buatan menggunakan logika Fuzzy Sugeno yang mampu mempertimbangkan langsung tingkat permainan dengan cara mengeluarkan jenis kartu dalam lapangan permainan yang sesuai dengan kemampuan pemain. Hasil pengujian memperlihatkan Fuzzy Sugeno dapat membuat 35 keputusan dan 15 nilai pasti dari 50 kali percobaan.\u0000Kata Kunci: flora dan fauna, game, tingkat kesulitan adaptif, fuzzy, pengujian","PeriodicalId":381749,"journal":{"name":"Jurnal Buana Informatika","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131800453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pengembangan Sistem Pakar Diagnosa Gangguan Mental dengan Mesin Inferensi Menggunakan Algoritma Dempster-Shafer Theory","authors":"Hendra Mayatopani, Rino Subekti, Nunik Yudaningsih, Mochamad Sanwasih","doi":"10.24002/jbi.v13i1.5568","DOIUrl":"https://doi.org/10.24002/jbi.v13i1.5568","url":null,"abstract":"Abstract. Development of a Mental Disorders Diagnostic System Using an Inference Engine Using the Dempster-Shafer Theory Algorithm. Patients with mental disorders in Indonesia show a high number. Mental disorders can be treated with special therapies by a psychologist or psychiatrist. However, the number of clinical psychologists and psychiatrists is not sufficient. So we need a system that can diagnose mental disorders and their treatment to prevent mental disorders as early as possible. Expert system development will face uncertainty due to the lack of information needed to decide. This study develops an expert system using the Dempster-Shafer theory algorithm as an inference engine to diagnose mental disorders. The system built can recognize mental disorders based on the symptoms felt by the patient. The system also includes explanations of mental disorders, causes, and treatment recommendations for patients. The accuracy test results show a comparison between the results of expert diagnostics and the system with a system accuracy level of 84%. Keywords: Dempster-Shafer theory, Disease diagnosis, Expert systems, Mental disorders, Uncertainty\u0000Abstrak. Penderita penyakit gangguan mental di Indonesia menunjukkan angka yang tinggi. Gangguan mental dapat diatasi dengan terapi-terapi khusus oleh psikolog atau psikiater. Akan tetapi jumlah psikolog klinis dan psikiater tidak mencukupi. Maka diperlukan sebuah sistem yang dapat mendiagnosa gangguan mental dan penanganannya sehingga dapat dicegah sedini mungkin. Pengembangan sistem pakar akan menghadapi ketidakpastian karena terjadi kurangnya informasi yang dibutuhkan untuk membuat sebuah keputusan. Penelitian ini mengembangkan sistem pakar menggunakan algoritma dempster-shafer theory sebagai mesin inferensi untuk mendiagnosis penyakit gangguan mental. Sistem yang dibangun dapat mengenali penyakit gangguan mental berdasarkan gejala yang dirasakan oleh pasien. Sistem juga menyertakan penjelasan mengenai penyakit gangguan mental, penyebab, dan rekomendasi pengobatan untuk pasien. Hasil pengujian akurasi menunjukkan perbandingan antara hasil diagnosa pakar dan sistem dengan tingkat akurasisistem mencapai 84%.Kata Kunci: Teori Dempster-shafer, Diagnosa penyakit, Sistem pakar, Gangguan mental, Ketidakpastian","PeriodicalId":381749,"journal":{"name":"Jurnal Buana Informatika","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122674973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Load Test pada Microservice yang menerapkan CQRS dan Event Sourcing","authors":"Difa Al Fansha, M. Y. H. Setyawan, M. Fauzan","doi":"10.24002/jbi.v12i2.4749","DOIUrl":"https://doi.org/10.24002/jbi.v12i2.4749","url":null,"abstract":"Abstract. Load Test on Microservice implementing CQRS and Event Sourcing. In developing an application, determining the architecture is a very important job. This research implements microservice architecture with CQRS pattern and event sourcing on OpenAPI, API-driven and event-driven integration between services. Applying the right architecture can make the performance of the application faster. There are two test activities that are useful to find out the difference in the frequency of requests for APIdriven and event-driven that can affect response time, error rate and throughput, as well as analyze which architecture has better performance. The test is carried out using a load test technique using the JMeter tool. This study proves that microservices with CQRS and Event Sourcing patterns have 3.7% faster performance compared to API-driven, and communication between services has no effect on error rate and throughput. Keywords: microservice, load test, CQRS, event sourcing, software architecture Abstrak. Dalam pengembangan sebuah aplikasi, penentuan arsitektur merupakan pekerjaan yang sangat penting. Penelitian ini mengimplementasikan arsitektur microservice dengan pola CQRS dan event sourcing pada OpenAPI, integrasi antar service berbasis API-driven dan event-driven. Penerapan arsitektur yang tepat dapat membuat performansi dari aplikasi menjadi lebih cepat. Terdapat dua aktivitas pengujian yang berguna untuk mengetahui perbedaan frekuensi request pada API-driven dan eventdriven yang dapat mempengaruhi response time, error rate dan juga throughput, serta menganalisis arsitektur mana yang memiliki performa yang lebih baik. Pengujian dilakukan dengan teknik load test yang menggunuakan tool JMeter. Penelitian ini membuktikan bahwa microservice dengan pola CQRS dan Event Sourcing memiliki performansi lebih cepat 3,7% dibandingkan dengan API-driven, serta komunikasi antar service tidak berpengaruh pada error rate dan throughput.Kata Kunci: microservice, load Test, CQRS, event sourcing, software arsitektur","PeriodicalId":381749,"journal":{"name":"Jurnal Buana Informatika","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122655516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Penerapan Klasterisasi Menggunakan K-Means untuk Menentukan Tingkat Kesehatan Bayi dan Balita di Kabupaten Bengkulu Utara","authors":"Daniel Tunggono Saputro, Wida Pesah Sucihermayanti","doi":"10.24002/jbi.v12i2.4861","DOIUrl":"https://doi.org/10.24002/jbi.v12i2.4861","url":null,"abstract":"Abstract. The health level in Indonesia is still a challenge in every central and district area, especially the health level of infants and toddlers. The Health Office in North Bengkulu Regency always strives to provide the best health services to the people in North Bengkulu. Focusing on the health level of infants and toddlers in Bengkulu Regency, this study applies clustering to help the Health Office determining their health level in each village/district. K-means algorithm is used to cluster each subdistrict based on indicators of infant mortality, under-five mortality, morbidity, and nutritional status. The result showed that the processing of existing indicators is grouped into three clusters covering high, medium and low health levels.Keywords: Clustering, K-means, Health, RapidMiner Abstrak. Tingkat kesehatan di Indonesia masih menjadi tantangan di setiap daerah pusat maupun kabupaten, terutama tingkat kesehatan pada bayi dan balita. Dinas Kesehatan di Kabupaten Bengkulu Utara selalu berusaha untuk memberikan pelayanan kesehatan terbaik terhadap masyarakat di Bengkulu Utara. Dalam rangka memperhatikan tingkat kesehatan bayi dan balita pada Kabuaten Bengkulu, penelitian ini menerapkan klasterisasi untuk membantu Dinas Kesehatan mengetahui tingkat kesehatan bayi dan balita disetiap desa/ kecamatan. Algoritma K-means digunakan untuk mengklasterisasisetiap kecamatan berdasarkan indikator angka kematian bayi, angka kematian balita, angka kesakitan , dan status gizi. Hasil proses pengolahan indikator yang ada dikelompokan ialah tiga klaster meliputi tingkat kesehatan tinggi, sedang dan rendah. Kata Kunci: Klasterisasi, K-means, Kesehatan, RapidMiner","PeriodicalId":381749,"journal":{"name":"Jurnal Buana Informatika","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121476722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sistem Rekomendasi Pembelian Produk Kesehatan pada E-Commerce ABC berbasis Graph Database Amazon Neptune menggunakan Metode Hybrid Content-Collaborative Filtering","authors":"Made Devayani Dinda Maristha, A. Santoso, Findra Kartika Sari Dewi","doi":"10.24002/jbi.v12i2.4623","DOIUrl":"https://doi.org/10.24002/jbi.v12i2.4623","url":null,"abstract":"Abstract. Recommendation System of Health Product Purchasing at ABC E-Commerce System based on Amazon Neptune’s Graph Database using Hybrid ContentCollaborative Filtering Method.Health products purchased by society, either in drugstores or pharmacies may vary according to their needs. ABC e-commerce is a Business to Business (B2B)-based e-commerce owned by PT XYZ. As a health product sales system from distributors to drug stores/pharmacies, they still do not have a health product purchase recommendation system yet. The recommendation system is needed to provide recommendations of health products for the customers. Amazon Neptune is implemented in this research to build a health product recommendation system. The hybrid contentcollaborative filtering method is used to generate complete recommendations based on content attributes and user habits. The datasets were product data, product categories, customers, product principals, and data of products trading. This research produces a health products recommendations model at ABC e-commerce with android based using web services. The implementation can provide recommendations of health products that can be accessed in real-time by customers.Keywords: health products, recommendation systems, graph database, Amazon Neptune, hybrid content-collaborative filteringAbstrak. Produk kesehatan yang dibeli masyarakat, melalui toko obat/apotek, dapat berbeda sesuai kebutuhan. E-commerce ABC berbasis Business to Business (B2B) milik PT XYZ sebagai sistem penjualan produk kesehatan dari distributor kepada toko obat/apotek belum memiliki sistem rekomendasi pembelian produk kesehatan. Sistem rekomendasi sebagai pengembangan fitur e-commerce ABC diperlukan untuk memberikan rekomendasi produk kesehatan yang sesuai dengan keadaan setiap pelanggan. Amazon Neptune sebagai graph database service yang dapat mengelola relasi dalam data yang saling terhubung, digunakan dalam penelitian untuk membangun sistem rekomendasi produk kesehatan. Metode hybrid content-collaborative filtering digunakan untuk menghasilkan rekomendasi yang lengkap berdasarkan atribut konten dan kebiasaan pengguna. Dataset yang digunakan meliputi data produk, kategori produk, pelanggan, principal, serta data jual-beli produk di e-commerce ABC. Penelitian ini menghasilkan model rekomendasi produk kesehatan yang diimplementasikan pada e-commerce ABC berbasis Android menggunakan web service. Implementasi tersebut memberikan rekomendasi produk kesehatan yang dapat diakses secara real-time oleh pelanggan pada saat menggunakan ecommerce ABC.Kata Kunci: produk kesehatan, sistem rekomendasi, graph database, Amazon Neptune, hybrid content-collaborative filtering","PeriodicalId":381749,"journal":{"name":"Jurnal Buana Informatika","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125525225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}