Adolescent fertility is an important issue in terms of health and social care due to its relation to morbidity and mortality of mothers and children. The 2017 IDHS provided data regarding the percentage of women aged 15-19 who already became mothers or pregnant with their first child according to background characteristics. The 2017 IDHS results showed 7 percent of women aged 15-19 were mothers: 5 percent had given birth and 2 percent were pregnant with their first child. This study used a quantitative secondary data analysis approach. The secondary data used were the results of the Central Java IDHS 2017. The population of this study was all adolescent girls aged 15-19 years in Central Java. The unit analysis in the study were women of childbearing age which were 15-19 years from the analysis unit of Central Java IDHS in 2017 with a total sample of 4,560 respondents. From the results of the study, we noted that factors related to adolescent fertility in Central Java were age, education, use of contraception, marital status, status of living with a partner, and practice of sexual relations. Factors which were not related to adolescent fertility in Central Java were occupation, wealth, type of residential area, insurance ownership, duration of abstinence, partner's age, partner's level of education, and partner's occupation.

Landslide disaster is frequently happened in Indonesia, which has climate characteristic, area topography, and geological structure that make this country has many landslide potential areas. During the rainy season, the load on the slopes grows due to the increase in water content in the soil, which can lead to landslide. Landslide early warning system can be built based on geological structure and some physical environment parameters using sensors using the wireless sensor network. The communication networks with Internet technology support a substantial backbone for communication. IoT architecture can accommodate wireless sensor network for landslide early warning system. This paper describes the system uses an Arduino ATMega 2560 microcontroller to collect data from many sensors. The measured and actual physical parameters are obtained, which indicates the system succeeds in providing sensed data.

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Anak adalah anugerah yang tidak ternilai, sehingga tidak heran jika ada anggapan banyak anak banyak rejeki. Akan tetapi  anggapan demikian nampaknya sudah tidak sesuai lagi dengan kondisi saat ini, di mana semua orang harus berjuang keras untuk mengupayakan sesuatu yang optimal. Tulisan ini bertujuan untuk mengkaji gambaran umum faktor-faktor yang mempengaruhi keinginan memiliki anak mengacu teori pilihan rasional berdasarkan data SDKI 2017. Metode analisis menggunakan analisis deskriptif untuk mengetahui gambaran umum faktor-faktor yang mempengaruhi keinginan memiliki anak.  Hasil analisis menunjukkan bahwa faktor-faktor yang mempengaruhi keinginan memiliki anak adalah jumlah anak yang sudah dimiliki, persepsi jumlah anak ideal, sosial ekonomi,  lokasi tempat tinggal, dan tingkat pendidikan. Kata kunci : Keinginan memiliki anak, teori pilihan rasional

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