This research aims to reveal the use of address terms in English and Selayarese based on situation and context and to understand the aspects that influenced the use of address terms in English and Selayarese. This study was analyzed through descriptive qualitative approach. The English data were taken from some conversational events in the movies while the Selayarese data were taken from the participant observation, depth interview, and field notes. The data requirement is focused on the address terms performed by English (American) and Selayarese community. The results of this research indicate some kinds of address terms occupied in both languages namely: 1) pronouns, 2) kinship terms, 3) title and professional terms, 4) religious terms, 5) nobility terms, 6) terms of endearments. The difference from both languages appeared in which the nobility terms and teknonyms was not accommodated in English data. Another difference is Selayarese use certain address terms to call cousin and nephew or niece. Beside that there are also some similarities from both languages in which they use first name to call their mother, father, grandfather and grandmother and both languages applied endearments to address someone. It was also found from the data that there are some aspects that influenced the use of address terms in English and Selayarese, namely: 1) age difference, 2) social situation, consisting formal and non formal situation, 3) social status, consisting achieved and ascribed status, 4) social distance or degree of intimacy.

Jagung manis segar memiliki umur simpan yang pendek, yaitu hanya 2-3 hari jika disimpan pada suhu kamar. Umur simpan yang pendek ini dapat menurunkan kualitas dan nilai ekonomis jagung, sehingga perlu ada upaya untuk mengatasinya. Tujuan penelitian ini adalah mempelajari pengaruh jenis kemasan dan suhu penyimpanan terhadap karakteristik fisik jagung manis segar (Zea mays L.) selama penyimpanan. Metode penelitian dilakukan dengan cara menyimpan jagung manis segar di dalam kemasan PP dan PE pada suhu 10 dan 29°C selama 10 hari, kemudian mengukur kadar air, susut bobot, dan kromasitas warna jagung. Hasil penelitian menunjukkan bahwa kadar air jagung manis segar selama penyimpanan mengalami penurunan. Penggunaan kemasan PP pada suhu 10°C dapat menghambat penguapan kadar air jagung manis, sehingga kehilangan kadar air lebih kecil sebesar 24,75% jika dibandingkan dengan kemasan PE sebesar 25,81%. Susut bobot tertinggi terjadi pada suhu penyimpanan 29°C tanpa kemasan sebesar 44,71% dan susut bobot terendah sebesar 26,77% terjadi pada suhu penyimpanan 10°C menggunakan kemasan PP. Warna jagung manis semakin pudar seiring dengan lamanya penyimpanan. Jenis kemasan PP pada suhu penyimpanan 10°C dapat mempertahankan kesegaran jagung manis segar selama penyimpanan.

Salah satu kelompok usaha di Desa Kekait yang saat ini sedang berkembang yaitu Kelompok Usaha Mikro (KUM) Maju Bersama yang mengolah nira aren menjadi gula cetak dan gula semut. Desa Kekait merupakan salah satu wilayah yang banyak ditumbuhi tanaman kelapa. Namun teknologi pengolahan kelapa masih belum dilirik sebagai sebuah peluang lini produk oleh KUM Maju Bersama. Sebagai upaya dalam diversifikasi produk olahan kelapa sekaligus menambah lini produk KUM Maju Bersama, maka introduksi pengolahan kelapa perlu dilakukan. Salah satunya adalah memperkenalkan coconut chip kepada mitra sebagai salah satu alternatif produk unggulan selain gula semut dan gula cetak, sehingga meningkatkan perekonomimian anggota mitra khususnya. Tujuan dari kegiatan ini adalah meningkatkan pengetahuan dan keterampilan mitra dalam teknologi pengolahan kelapa menjadi coconut chip sebagai salah satu produk unggulan mitra. Metode yang dilakukan yaitu sosialisasi dan disertai praktek pengolahan kelapa. Berdasarkan hasil kegiatan yang telah dialakukan diperoleh bahwa mitra belum mengenal keripik kelapa. Namun setelah mengikuti rangkaian pelatihan, mitra mengetahui dengan baik manfaat dan produk olahan daging kelapa yang memiliki nilai ekonomi yang cukup tinggi. Selain itu, keterampilan mitra pun meningkat setelah melakukan praktek langsung pengolahan daging kelapa menjadi keripik kelapa. Tindak lanjut yang akan dating yaitu berupa pelatihan pengemasan dan penyimpanan keripik kelapa, serta pendampingan pengurusan PIRT agar membantu strategi pemasaran dan memperluas jangkauan pemasaran. Kata kunci: coconut chip, Desa Kekait, Pengolahan kelapa

Fruits, including mangoes, produce a wide variety of volatile organic compounds that give them their distinct aroma. Characteristics of fruit aroma is one of the important keys in determining consumer acceptance in the commercial fruit market based on individual preferences. So a possible way to determine the level of ripeness/damage is to feel the distinctive aroma presented by the fruit using a gas sensor. This study aims to build a system that can detect mango damage based on its aroma. The sensors used are TGS 2600, MQ3, MQ4, MQ2, and MQ8 which are connected to the Arduino Mega 2560. The learning model used is an ensemble learning model of Dynamic Classifier Selection (DCS) with Local Class Accuracy (LCA)/DCS-LCA. This algorithm combines Logistic Regression, Selection Tree, Support Vector Machine (SVM), Naïve Bayes, Random Forest, and Neural Networks. The model was then tested with a comparison of the amount of test data and training data of 70%:30%. The test results showed that the overall system Accuracy was 75% and the ability to detect mango fruit damage was 71%. The DCS-LCA classifier model outperforms each of its constituent base classifiers.

Nowadays, some coffee production centers are still classification manually, so it requires a very long time, a lot of labor, and expensive operational costs. Therefore, the purpose of this research was to design and performance of the coffee bean classifier that can accelerate the process of classification beans. The classifier used consists of three main parts, namely the frame, driving force, and sieves. Research parameters include classifier work capacity, power, specific energy, classification distribution and effectiveness, and efficiency. The results showed that the best operating conditions of the coffee bean classifier was found at a rotational speed of 91.07 rpm and a 16° sieves angle with a classifier working capacity of 38.27 kg/h, the distribution of the seeds retained in the first sieve was 56.77 %, the second sieves was 28.12%, and the third sieves was 15.11%. The efficiency of using a classifier was found at a rotating speed of 91.07 rpm and a sieves angle of 16°. This classifier was simple in design, easy to operate, and can sort coffee beans into three classification, namely small, medium, and large.