Stunting is a chronic nutritional problem caused by lack of nutrition for a long time. Sumberwringin Village is one of the villages in Bondowoso Regency with a fairly high number of cases of stunting under five and is one of the fostered villages of the University of Jember that requires assistance in resolving public health problems, especially regarding the handling of nutrition and stunting problems. Food and nutrition insights from community program actors, such as nutrition cadres, pregnant women, and breastfeeding mothers play an important role in efforts to prevent and improve stunting problems in Indonesia.The aim of the implementation of this community service activity is to increase the competence (cognitive, affective, and psychomotor) of posyandu cadres in providing education to the community about stunting prevention based on community participation through changes in personal hygiene and sanitation, and preventing pregnant women and breastfeeding mothers gave birth to a stunting baby. The subjects of the training activities were 34 pregnant women and mothers under five in Sumberwringin Village, Sumberwringin District, Bondowoso Regency. This activity was carried out by means of lectures and discussion questions and answers regarding the material of Stunting Prevention with the PHAST Method. The results of this activity indicated that there was a significant difference in the level of knowledge among all participants before and after being given material related to stunting and environmental health with an average increase of 30 points. This activity can be concluded that community service activities in preventing stunting through Participatory Hygiene and Sanitation Transformation (PHAST) are able to increase participants' knowledge about Stunting Prevention with the PHAST Method.

Stunting (kerdil) menjadipermasalahan giziyang sedang dihadapi KabupatenJember.KabupatenJembertermasuksatudari11Kabupaten prioritaspenangananstuntingdiJawaTimur.DesaArjasamerupakansalah satuDesadiKabupatenJemberdenganprevalensistuntingsebesar24,56% padatahun2018 berdasarkandatadariDinasKesehatanKabupaten Jember.Salah satu faktorrisiko terjadinya stunting yaitu bayitidak mendapatkanASIekslusif.PemberianASIekslusifmemilikiketerkaitan denganpemberiankolostrum padabayi.Upayapreventifmelaluiedukasi yangdapatmenyentuhaspekemosionalmerupakansalahsatulangkah yangdapatdilakukanuntukmenurunkanprevalensistunting.Emo-Demo merupakansalahsatumetodeedukasiinteraktifdenganmemanfaatkan doronganemosiuntukmenyampaikaninformasikesehatankepadasasaran. PelatihanedukasipadakaderPosyandudiDesaArjasainimenggunakan modulEmo-Demo“Kolostrum ituPenting”.Hasilpelatihanmenunjukkan bahwa terdapatpeningkatan pengetahuan untuk mencegah stunting sebesar8%.HalinimenunjukkanbahwametodeEmo-Demomerupakan salahsatualternatifedukasikesehatanyangdapatdikembangkandan digunakanuntukmenurunkanprevalensistunting.

The Leppangeng Cell counter is a counter that sells digital products in the form of Credit, Data Packages, PLN Electricity Tokens, Electricity Payments, BPJS Payments, PDAM Payments. Spidy or Indihome Payments, Home Phone Payments, Postpaid Payments, Game Voucher Sales, Cable TV Payments, Credit Installment Payments, Train Ticket Payments, PGN/Gas Payments, Shope Payments and Cash Transfer Services and Top Up. However, from the counter sales, of course, not all of them sell well, there are also products that don't sell. Sales data, purchases and unexpected expenses at the Leppangeng Cell Counter are not well structured, so the data only serves as a store archive and cannot be used to develop marketing strategies. Therefore, it is necessary to apply data mining using K-Means at the Leppangeng Cell Counter. The K-Means method can be applied to the Leppangeng Cell Counter to determine sales of digital products that are selling well and not selling well. The application of the K-Means method at the Leppangeng Cell Counter is by grouping digital product stock data. Then select 3 random grub as initial centroid. After the data for each group does not change, the results of data processing are obtained in the form of 114  products that sell, 5 underperforming, and 14 not sold. Then, the application of the K-Means method to Rapidminer is carried out by entering the initial product stock, the sold stock and the final stock to be changed and form K-Means. After that, Rapidminer will produce which products have high and low demand

Perkembangan urbanisasi dan ekonomi pada negara berkembang menyebabkan terjadinya nutrition transition. Hal ini mengakibatkan munculnya fenomena beban gizi ganda pada keluarga dimana terdapat anggota rumah tangga yang memiliki status gizi kurang dan lebih tinggal dalam satu keluarga. Penelitian ini bertujuan untuk mengetahui prevalensi dan faktor-faktor yang berhubungan dengan fenomena beban gizi ganda pada keluarga di Indonesia. Penelitian cross-sectional ini menggunakan data Indonesian Family Life Survey (IFLS) tahun 2014 dengan jumlah sampel sebesar 6468 keluarga. Indikator beban gizi ganda keluarga ditunjukkan dengan adanya status gizi lebih dan kurang tinggal dalam satu keluarga yang diwakili oleh ibu dan anak. Analisis statistik dengan metode chi-square digunakan untuk menguji variabel yang memiliki hubungan dengan terjadinya beban gizi ganda keluarga. Hasil menunjukkan prevalensi beban gizi ganda keluarga di Indonesia adalah 8,27% dan persentase tertinggi terdapat pada regional Kalimantan dan Indonesia Timur. Faktor-faktor yang berhubungan dengan kejadian beban gizi ganda secara signififikan (p<0,05) pada keluarga di Indonesia adalah usia ibu (p = 0,001), pendidikan ibu (p = 0,022), jumlah anak (p = 0,001) dan jumlah anggota rumah tangga (p = 0,001). Penelitian lanjutan dengan metode longitudinal diperlukan untuk mengetahui prediktor beban gizi ganda pada keluarga di Indonesia sehingga dapat dirumuskan intervensi yang tepat untuk pencegahan masalah tersebut.