Judul: “Designing the FWCHANGER Application as the Solutions of Food Waste Issues using Social Business Model
Abstrak: The issue of food waste is increasingly gaining attention in various countries due to its detrimental impact on the environment, economy, and society. One of the favored options for managing this waste is through recycling, which is now combined with the concept of "from trash to cash" through digital platforms. This research aims to identify the obstacles faced by households in managing food waste, design a prototype food waste management application as a solution to overcome the problem of food waste in the household, and develop an appropriate and verified business model to solve the problem of food waste in the household. This study employed customer discovery with a descriptive qualitative approach, using non-probability sampling techniques in the form of purposive sampling by distribute the survey online from June 2023 to August 2023. The results of that study indicated that respondents faced five main issues related to food waste, namely a lack of knowledge, limited information about waste disposal service providers, time constraints, difficulties in dealing with easily perishable waste, and laziness. In addressing those issues, FWCHANGER had developed several solutions by integrating features tailored to the preferences of respondents. The adopted business model, the social lean canvas, was successfully verified through three crucial components: product-market fit, customer outreach approach, and the company's profit strategy., Isu food waste atau sampah makanan yang semakin menjadi perhatian di berbagai negara karena dampaknya yang merugikan terhadap lingkungan, ekonomi, dan sosial. Salah satu opsi yang diminati untuk mengelola sampah ini adalah dengan metode daur ulang (recycle), yang kini dikombinasikan dengan konsep "from trash to cash" melalui digital platform. Penelitian ini bertujuan untuk mengidentifikasi kendala yang dihadapi rumah tangga dalam mengelola food waste, merancang prototype aplikasi pengelolaan food waste sebagai solusi dalam mengatasi permasalahan limbah food waste dalam rumah tangga, dan menyusun model bisnis yang tepat dan terverifikasi untuk memecahkan permasalahan limbah food waste dalam rumah tangga. Metode yang digunakan dalam penelitian ini adalah customer discovery dengan pendekatan deskriptif kualitatif, dengan menggunakan teknik non-probability sampling berupa purposive sampling dengan menyebarkan survei secara online yang berlangsung pada Juni 2023 hingga Agustus 2023. Hasil dari studi ini mengindikasikan bahwa ada lima isu utama yang dihadapi oleh responden terkait food waste yaitu kurangnya pengetahuan, informasi terbatas tentang penyedia jasa penyaluran, keterbatasan waktu, kesulitan menghadapi sampah yang mudah busuk, dan rasa malas. Dalam mengatasi hal tersebut, FWCHANGER telah mengembangkan beberapa solusi dengan mengintegrasikan fitur-fitur yang disesuaikan sesuai dengan preferensi para responden. Model bisnis yang diadopsi, yaitu social lean canvas, telah berhasil diverifikasi melalui tiga komponen penting, yakni kesesuaian produk dengan pasar, pendekatan dalam menjangkau pelanggan, serta strategi perusahaan menghasilkan keuntungan.
Keyword: customer discovery, digital platform, social lean canvas, sustainable living

Judul: Designing Business Recylist: Waste Management Platform Through the Customer Discovery
Abstrak: Indonesia memiliki gap antara jumlah timbulan sampah dengan pengelolaannya di industri daur ulang. Recylist merupakan waste management platform yang dapat memenuhi ketersediaan bahan baku sampah pelaku usaha daur ulang. Rumusan masalah dan tujuan penelitian ini didasarkan atas penggunaan metode customer discovery agar menciptakan Recylist bersifat product-market fit. Jumlah sampel ditentukan 15 orang pada proses uji masalah dan lima orang pada proses uji solusi. Data diolah menggunakan analisis model Miles and Huberman dan statistik deskriptif. Pada tahap awal, Recylist menargetkan calon pengguna dari sisi industri daur ulang kepada earlyvangelist yang ditetapkan dengan jumlah 19.431 usaha di ProvinsiJakarta dan Jawa Barat. Hasil akhir penelitian ini berupa rancangan model bisnis dan high-fidelity prototype berbasis teknologi yang telah terverifikasi berdasarkan hasil proses pada tahap hipotesis, uji masalah, dan uji solusi sehingga diputuskan bahwa model bisnis dapat dilanjutkan pada tahapan customer development selanjutnya., Indonesia has a gap between the amount of waste generated and its management in therecycling industry. Recylist is a waste management platform that can fulfil the availability of waste raw materials for recycling businesses. The problem formulation and objectives of this researchare based on the use of the customer discovey method to create Recylist product-market fit.The number of samples was determined to be 15 people in the problemtest process and fivepeople in the solution test process. Data was processed using Miles and Huberman model analysis and descriptive statistics. In the first stage, Recylist targeted potential users from the recycling industry sector to the defined earlyvangelists with a total of 19,431 businessesin Jakarta and West Java Provinces. The final result of this research is a design of the technology based business model and high-fidelity prototype has been verified based on the results of the process at the hypothesis stage, problem test, and solution test so that it is decided that the business model can be continued at the next stage of customer development.
Keyword: business model, customer discovery, recycle, Recylist, waste management

Judul: Asymptotic Distribution of Estimator for the Intensity Function of a Doubly Periodic Poisson Process
Abstrak: In this manuscript, estimation of the intensity function of a doubly periodic Poisson process is discussed. It is assumed that only a single realization of the Poisson process is observed in a bounded window [0,n]. It is also assumed that the period of the intensity function is known. The rate of consistency and asymptotic normality of the estimator are formulated. Finally, a confidence interval for the local intensity function is also formulated.
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