Sidoarjo on Hands (SoH) is an android-based mobile application that can ease the public of Sidoarjo to get information about the potential area in Sidoarjo. SoH has gone through two stages of systems development. The deficiencies found in the earlier version include still not presenting information on the mileage of the current user site to potential desired areas that to land on. At the same time, the user also wants information about the route. The user must take this route if they would like to go to the potential area. This research tries to apply the Haversine formula as a method of estimation of the calculation of the distance between user's current location and the potential intended areas of SoH. Next, through Google Maps Library, the user will get information about the route. By applying the Haversine formula as a support system to offer the intended areas of potential recommendations, the SoH system may have better performance so that it is able to meet the needs of users of SoH itself.

AbstrakSoH merupakan aplikasi mobile berbasis android yang dapat memudahkan masyarakat untuk mendapatkan informasi tentang potensi daerah yang dimiliki Kabupaten Sidoarjo. SoH dikembangkan dengan tujuan agar dapat mendukung promosi potensi daerah Kabupaten Sidoarjo. Pencarian data pada prototype aplikasi SoH versi 1.0 menggunakan metode join matching query. Sistem sudah mampu menampilkan hasil pencarian potensi Kabupaten Sidaorjo dengan baik namun dirasa kurang optimal. Agar pencarian data oleh sistem dapat lebih optimal maka digunakan algoritma Apriori TID. Algoritma TID digunakan untuk retrieve data pada riwayat penggunaan aplikasi SoH yang tersimpan dalam sistem. Proses retrieve data akan menghasilkan rekomendasi pencarian data potensi daerah Kabupaten Sidoarjo. Hasil rekomendasi ini akan digunakan oleh sistem untuk melakukan pencarian data pada server data potensi Kabupaten Sidoarjo. Dengan menerapkan algoritma Apriori TID pada saat pencarian data potensi Kabupaten Sidoarjo, hasil pencarian dapat lebih optimal. Hal ini disebabkan karena pencarian data oleh engine system dilakukan dengan menggabungkan 2 pihak secara bersamaan, yaitu server data potensi Kabupaten Sidoarjo dan server data riwayat penggunaan aplikasi SoH oleh pengguna SoH itu sendiri. Kata kunci: Apriori TID, pencarian data, Sidoarjo AbstractSoH is android based mobile application. SoH ease people to get information about the local potential of Sidoarjo. SoH is aimed to support promotion of the local potential of Sidoarjo. Data searching in the prototype of SoH version 1.0 implements join matching query method. System can show appropriate searching result of the local potential of Sidoarjo but it seems less optimum. To increase efficiency of data searching, we implement Apriori TID algorithm. Apriori TID algorithm is used to retrieve data from history of SoH usage. This process produces recommendation of the local potential of Sidoarjo. By implementing Apriori TID algorithm the result of data searching become more optimum. It is possible because data searching which was done by engine system combine server of Sidoarjo potential and server of history of SoH usage itself.

This study aims to develop a mobile-based application, Smart Malnutrition Detection, which can help early detection independently of the nutritional status of each individual and provide recommendations for daily nutritional intake. The system was developed by adopting a prototyping system development model. The system can determine the nutritional status of individuals based on the threshold value of BMI. The system can also calculate individual daily calorie needs based on BMI, EMB and daily physical activity values. The final output of this system is in the form of recommendations for daily nutritional intake in grams. The functional testing results show that all features contained in the Smart Malnutrition Detection application can run well and no errors are found. Validity testing results show that the output of the system is in accordance with the rules set by the Ministry of Health of the Republic of Indonesia. Starting from calculating the BMI value, the value of daily calorie needs to the size of the menu consumption in grams. So that it can be concluded that this application is very useful to support early detection of individual malnutrition conditions. The system is also able to provide recommendations for daily nutritional intake so that it can help improve diet and healthy lifestyle.

This study aims to find the proper distance calculation method that will be applied to the Sidoarjo on Hands (SoH) application. This study was conducted by comparing three distance algorithms namely Euclidean Distance, Manhattan Distance, and Haversine Formula. The results showed that the Euclidean Distance method was the proper method because this method had has the smallest Mean Absolute Deviation (MAD) with 1.71 in amount.