Judul: Dadih Business Development Strategy as West Sumatran Functional Food (Case Study Dadih Nagari Gadut)
Abstrak: Angka permintaan dadih terus mengalami penurunan, padahal dadih memiliki potensi pengembangan produk dan permintaan pangan fungsional diproyeksikan akan terus meningkat hingga tahun 2025. Penelitian ini bertujuan untuk mengetahui model bisnis dadih saat ini, mengidentifikasi permasalahan konsumen dadih, serta menyusun model bisnis dadih. Pengumpulan data dilakukan pada bulan Maret hingga Juli 2021 dengan menggunakan konsep pemikiran desain. Data primer diperoleh dari seorang produsen dadih di Nagari Gadut dan 20 orang konsumen dadih. Hasil penelitian menunjukkan model bisnis awal usaha dadih masih sangat sederhana. Permasalahan utama yang dirasakan oleh konsumen adalah kegiatan promosi yang kurang, lokasi penjualan yang susah dijangkau, rasa dadih yang asam dan tidak konsisten, aroma amis pada dadih, serta kemasan dadih yang tidak praktis dan tidak informatif. Penelitian menghasilkan prototype yang dapat dijadikan acuan perbaikan produk dan kanvas model bisnis akhir dinilai dapat diimplementasikan., The demand for dadih continues to decline, even though dadih has the potential for product development and demand for functional food is projected to continue to increase until 2025. This study aims to determine the current dadih business model, identify dadih consumer problems, and develop a dadih business model. Data collection was carried out from March to July 2021 using the concept of design thinking. Primary data were obtained from a dadih producer in Nagari Gadut and 20 dadih consumers. The results showed that the initial business model of the dadih business was still very simple. The main problems felt by consumers were lack of promotional activities, hard to reach sales locations, sour and inconsistent dadih taste, fishy dadih smell, as well as impractical and uninformative dadih packaging. This study developed a prototype that could be used as a reference for product improvement and the final business model canvas was considered implementable.
Keyword: business model canvas, design thinking, product development

Judul: Pengembangan Model Bisnis Produk Dadih Susu Sapi
Abstrak: Dadih is milk fermented product which reputed as one of each traditional healthy food from Indonesia that use milk and lactic acid bacteria as the main raw material. Based on the research that actual production fermented milk product in Indonesia was increased from year to year. Customer development could be one of the solution to know and fulfil customer needs taht use iteration concept until get the best decision. Business model canvas was a tool to combine and choose an idea to get the new concept dadih product. The last decision from iteration that had been done with a repetition would change dadih concept from founders mind became a product that got customer acceptance. Production cost calculation with 200 litre a day scale was got Rp. 6.000,- for the selling price. In investation criteria analiysis, dadih cow milk business project had passed and suitable because NPV and Net B/C value was more than one and IRR more than bank interest. From customer discovery step in customer validation for business model development was changed in channel, value proposition, customer relationship, and customer segment.
Keyword: validated business model., dadih, customer acceptance, cow milk, business model canvas

Judul: Klasifikasi genre musik menggunakan Learning Vector Quantization (LVQ)
Abstrak: Radio stations and music television have a milion of music tapes. A lot of musical genres create a problem when people wants to determine the right genre of a new kind of music. To classify the musical genre is not an easy task, because the musical genre is really difficult to standardization. Automatic musical genre classification can assist the human role in that process and help people to searching for the song acording to the genre that people want. This research using Mel Frequency Coefficient Cepstrum (MFCC) to obtain feature extraction. Learning Vector Quantization (LVQ), one kind of artificial neural network used for classification method. The number of genres that are used were four kind of musical genre, that is rock, classic, keroncong, and jazz with four different duration that is 5 second, 10 second, 20 second and 25 second. This research using k- fold cross validation to distribute dataset for training and testing set with the number of folds as much as 2 until 10 fold. This research succesfully implemented MFCC feature exraction and classification using LVQ. Based on this research, the accuracy of the classification using Learning Vector Quantization reaches 93,75% for the four type musical genre. The highest accuracy value was obtain from the experiments with a duration of 10 second and the number of fold 4. Training time for each duration is 30 minute for 5 second music duration, 45 minute for 10 second music duration 120 minute for 20 second music duration and 150 minute for 25 second music duration.
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