Penentuan jenis tanaman pangan yang sesuai ditanam pada lahan tertentu berdasarkan nilai-nilai karakteristik lahan sangat diperlukan sebagai pendukung pengambilan keputusan, koordinasi, dan pengendalian bagi para peneliti, praktisi, dan perencana penggunaan lahan, sehingga kerugian (finansial) yang cukup besar tidak terjadi nantinya. Program komputer dengan menggunakan Jaringan Syaraf Tiruan (JST) metode Learning Vector Quantization (LVQ) dapat digunakan sebagai alat yang tepat dalam memberikan informasi tanaman yang cocok ditanam dengan mudah, cepat, dan akurat. Data pelatihan didapat dari kombinasi nilai karakteristik lahan yang termasuk dalam kelas kesesuaian S1 dan S2. Hasil pengujian menunjukkan bahwa nilai Eps (error minimum yang diharapkan) = 0.005, nilai ?? ?? = 0.05, nilai maksimum epoh = 10, dan nilai pengurangan learning rate sebesar 0.1*?? ?? merupakan nilai-nilai yang cukup efektif dan efisien dalam melakukan prediksi jenis tanaman pangan yang sesuai ditanam pada lahan tertentu karena tingkat ketepatan prediksinya adalah 100%.

Indonesia dikenal sebagai penghasil kopi di dunia dengan tidak kurang dari 300 ribu ton biji kopi diekspor keluar negeri baik jenis arabika maupun robusta. Sebagian besar tanaman kopi ditanam dan dibudidayakan di sekitar hutan. Mitra Hutan Lestari merupakan Lembaga Masyarakat Desa Hutan yang berada di Desa Jambewangi Kecamatan Sempu Kabupaten Banyuwangi dengan luas wilayah pangkuan hutan tidak kurang 7000 Hektar dan salah satu komoditi yang belum termanfaatkan dengan maksimal adalah kopi. Tujuan dari program pengabdian kepada masyarakat ini adalah melakukan edukasi dan eksplorasi pengolahan kopi di perhutanan sosial Lembaga Masyarakat Desa Hutan Mitra Hutan Lestari di Kabupaten Banyuwangi. Metode yang digunakan dalam edukasi adalah pemberian materi pengolahan kopi mulai dari pemanenan hingga kopi disajikan. Eksplorasi jenis tanaman kopi dilakukan dengan terjun langsung ke lokasi perhutanan sosial dan menentukan jenis tanaman kopi di kawasan hutan. Evaluasi pelatihan dilakukan dengan menggunakan metode pre-test dan post-test kepada seluruh peserta pelatihan. Gambaran umum peserta pelatihan edukasi dan eksplorasi pengolahan kopi menyukai minuman kopi dengan rasa pahit untuk peserta pria dan peserta wanita lebih menyukai minuman kopi dengan kombinasi susu dan sirup dengan aneka rasa. Hasil analisis pre-test dan post-test menunjukkan terdapat peningkatan pengetahuan peserta mulai dari tata cara pemanenan buah kopi, pengolahan buah kopi menjadi biji kopi, penilaian nilai cacat biji kopi, penyangraian dan penyeduhan kopi.  Peserta pelatihan melalui kegiatan eksplorasi telah mampu membedakan jenis kopi yang ada di wilayah perhutanan social. Adanya pelatihan edukasi dan eksplorasi pengolahan kopi ini telah mampu meningkatkan pengetahuan dan semangat peserta pelatihan untuk mengembangkan kopi di areal perhutanan sosial.

This research focused on making applications to determine the dominant multiple intelligences. Everyone has eight different intelligences that reflect different ways of interacting with the world. The dominant multiple intelligence needs to be known so that the child's growth and development is in accordance with his or her talents and interests. Therefore, it is necessary to make an application with tools that have been tested by experts, which can determine the level of intelligence so that the potential of children can be developed. This application was created using the extreme Programming software development method. The reasons for the choice of this method were because the resources to create the application were readily available, the programming was conducted by a small team, and the application development time was short. This application used the PHP and MySQL by displaying a list of 24 questions that had to be filled out by the users. The application testing method used black box testing. The accuracy of the application was 100% from 150 respondents who used this application. The output of this application is a sequence of multiple intelligences owned by users ranging from linguistic, logical-mathematical, musical, spatial, kinaesthetic, intrapersonal, interpersonal abilities, and naturalist.

New born babies have the ability to express their basic needs through sounds. A system to understand the meaning of crying infants of aged 0-3 months is called Dunstan Baby Language (DBL), which was introduced in 2006. This research aimed to perform the modeling of codebook method with k-means clustering technique as feature matching, and Mel Frequency Cepstrum Coefficients (MFCC) as feature extraction to identify the infant cries. The infant cries identification of Dunstan Baby Language version used the shortest distance of mahalanobis. The treatment in this research was the combination of frame length: 25 ms, 40 ms and 60 ms, frame overlap of 0%, 40%, and 60%, and the number of codewords (number of clusters) of 1 to 29. The best accuracy in recognizing five types of crying Infants using mahalanobis distance can be achieved up to 83% when the frame length = 275, the overlap frame = 0.25, and the k = 17. Sound ‘heh’ was the most familiar, whereas sound ‘owh’ was always missunderstood and generally  known as ‘neh’ and ‘eairh’.Keywords: Codebook, Dunstan baby language, Mahalanobis Distance, MFCC

The Rachmat Purnama Farm Company, a producer of chrysanthemum flowers located in Cianjur Regency, has made efforts to process chrysanthemum flowers into chrysanthemum tea. However, the marketing remains limited, as sales are conducted directly. Consequently, the company recognizes the need for an online web store to enhance its marketing reach. The purpose of this system is to provide customers with information about chrysanthemum tea and facilitate convenient purchase transactions. The waterfall model is used as the software development method, which covers requirements analysis, system design, program code development, program testing, and program implementation and maintenance. The features of the online web store include account management, customer management, product categorization, product listings, attributes, sales, payments, shipping, and transaction reports. The implementation has positively impacted the company’s sales of chrysanthemum tea products, as shown by the increasing number of online purchases. Moreover, the marketing area coverage has expanded to Jakarta and Kalimantan.