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"This research is aimed to investigate the key sectors in the economy of Sanggau District. This research is descriptive and is using input-output analysis to find out the multiplier of economic sectors. In addition we also investigate the linkage among economic sectors, which are measured by backward and forward linkage indexes. The finding of this research shows that there are two sectors being the key namely the processing industry and transportation and communication sectors with backward and forward linkage indexes above the average level of the other sectors. Agriculture were found to be the sector with the biggest employment absorption. Based on this finding, the development policy strategies should be directed toward the policy that creates maximum economy, particularly in the sectors of processing industry and transportation and communication. As it will create a better distribution of job vacation among sectors in Sanggau District."

"Diabetes melitus merupakan peningkatan kadar gula darah disertai dengan gangguan metabolisme karbohidrat, lipid, dan protein sebagai akibat fungsi insulin yang tidak mencukupi. Pada tahun 2021 jumlah kematian akibat diabetes melitus di Indonesia mencapai 236.711 orang, menempati urutan keenam dunia dan pertama di Asia Tenggara. Di Indonesia penyakit ini meningkat sebesar 8,5% di tahun 2014 pada orang berusia di atas 18 tahun. Banyak faktor yang menjadi pemicu antara lain umur, jenis kelamin, serta diagnosa dokter terhadap penyakit bawaan. Meningkatnya jumlah kasus kematian akibat diabetes melitus setiap tahunnya membuat perusahaan asuransi harus mengantisipasi keadaan tersebut, termasuk menghitung cadangan klaim. Tulisan ini bertujuan untuk menghitung prediksi klaim yang dapat disiapkan dengan menggunakan batasan variabel umur, jenis kelamin, dan diagnosa dokter terhadap penyakit bawaan lainnya dengan melakukan klasifikasi menggunakan K-Modes clustering dan Metode Heuristik. Setelah mengklasifikasikan data, dilanjutkan dengan menghitung prediksi klaim menggunakan algoritma Random Forest, Naïve Bayes, dan Support Vector Machine. Hasil penelitian ini menunjukkan bahwa prediksi model terbaik diperoleh dengan menggunakan algoritma Naive Bayes, sedangkan kelompok klasifikasi terbaik menggunakan model Heuristik. Hasil penelitian ini diharapkan dapat menjadi pedoman bagi perusahaan asuransi dalam menentukan estimasi jumlah klaim yang mungkin terjadi.

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Diabetes mellitus is an increase blood sugar levels accompanied by impaired metabolism of carbohydrates, lipids, and proteins as a result of insufficient insulin function. In 2021 the number of deaths due to diabetes mellitus in Indonesia reached 236,711 people, this is ranked sixth in the world and first in Southeast Asia. This disease increased by 8.5% in 2014 people over 18 years of age. Many factors influence this disease, including age, gender, also the doctor's diagnosis of congenital diseases. The increasing number of death from diabetes mellitus every year causes insurance companies anticipate the situation calculating claim reserves. This paper aims to calculate prediction of claims that can be generated using the variable limits of age, gender, and doctor's diagnosis of other congenital diseases by doing classification using K-Modes clustering and Heuristic Method. After that we calculate claim predictions using Random Forest, Naïve Bayes, and Support Vector Machine algorithms. The results of this study indicate that the best model predictions are using the Naive Bayes algorithm, while the best classification group uses the Heuristic model. The results of this study are expected to be a guideline for insurance companies in determining the estimated amount of claims that may occur."

"Skripsi ini membahas Verba Berderet yang terkandung dalam bahasa Arab dengan menggunakan analisis sintaktis. Metode yang digunakan dalam penelitian ini adalah metode deskriptif dengan penelusuran data pustaka. Penelitian ini bertujuan memberikan klasifikasi verba berderet berdasarkan makna yang terkandung pada verba pertama dan menyajikan data pembentukan konstruksi verba berderet berdasarkan hubungan verba pertama dengan verba kedua. Hasil yang didapat dari penelitian ini adalah terdapat tiga macam jenis makna yang terkandung pada verba pertama, yaitu modalitas, aspek dan kala. Hubungan V1 dan V2 dari penelitian adalah V1 langsung diikuti V2, V1 dengan V2 disisipi partikel.

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The focus of this research is about serial verbs in Arabic syntactic analysis. Method of this research is a descriptive research that applies some book references. The aim of this research is to give the classification of serial verbs based on meaning in the first verb and describe the data construction serial verbs based on connection first verb and second verb. The conclusion of this research , there are three kinds of meaning in the first verb are modalities, aspect and tense. The connection of first verb and second verb in this research is first verb direct be followed second verb, first verb and second verb be inserted the particle."

"Contemporary digital information society has globalized information structures and facilitated easier access to information across libraries, cultural institutions, and the Internet. While this has helped shaped global discourses, it has often done so at the expense of localized meaning and ethics. This conference sparks a conversation about the tension between the global information structures and grounding meaning and ethics in localized contexts. "

"Kebijakan Transaksi Non Tunai (TNT) bertujuan mendorong kinerja pengelolaan keuangan daerah dan menekan pemborosan belanja fiskal daerah sehingga tercapai tujuan kebijakan desentralisasi fiskal. Penelitian ini bertujuan untuk menganalisis pengaruh kebijakan TNT terhadap rasio kinerja belanja Pemerintah Daerah (Pemda). Analisis menggunakan data panel selama periode 2012 – 2019 di lingkungan Satuan Kerja Perangkat Daerah (SKPD) dan Kecamatan Wilayah Provinsi DKI Jakarta. Data yang digunakan mencakup data laporan keuangan dan data organisasi Pemprov DKI Jakarta serta data pendukung tingkat Kecamatan yang dipublikasi oleh Badan Pusat Statistik (BPS) Provinsi DKI Jakarta. Variabel kontrol yang turut mempengaruhi rasio efisiensi yaitu kebijakan penetapan pagu uang persediaan dan jumlah pegawai pada level SKPD. Sedangkan, variabel kontrol berupa program kerja hanya mempengaruhi kinerja rasio efektifitas belanja di SKPD dan variabel kontrol jumlah SDM dan populasi penduduk untuk tingkat Kecamatan.

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The Non-Cash Transaction Policy (TNT) has purposed for boosting the performance of regional financial management and reduce waste of regional fiscal spending so that the objectives of the fiscal decentralization policy can be achieved. This study aims to analyze the effect of TNT's policy on the performance ratio of local government spending (Pemda). The analysis uses panel data during the period 2012 - 2019 in the Regional Work Units (SKPD) and the DKI Jakarta Provincial District. The data includes financial report and organizational data of DKI Jakarta Provincial Government and District’s data published by the Central Statistics Agency (BPS) of DKI Jakarta Province. The control variables that significantly affect to the efficiency ratio are the policy to set a limit of petty cash and the number of employees at the SKPD level. Meanwhile, the number of program only affects the performance of the expenditure effectiveness ratio at SKPD and the number of employees and population at the District level"