bluuebunny/crossref_metadata_2025_split huggingface dataset:
COLLOCATIONS SEBAGAI TASK-BASED LANGUAGE TEACHING UNTUK MENINGKATKAN SPEAKING FLUENCY PADA MATA KULIAH ENGLISH FOR ACADEMIC PURPOSES
Authors: Yuniarti Yuniarti , Yulian Ryani 
Published: January 2020

Minimnya exposure dalam berbicara bahasa Inggris dan lemahnya pengetahuan akan penggunaan ekspresi atau frasa kalimat yang tepat, lazim dan wajar seringkali menjadi faktor ketidaklancaran dalam speaking. Penelitian ini bertujuan untuk meningkatkan speaking fluency menggunakan collocations sebagai Task-based Language Teaching (TBLT). Dengan menerapkan metode penelitian tindakan kelas (Classroom Action Research), penelitian ini melibatkan 28 mahasiswa program studi Pendidikan Guru Pendidikan Anak Usia Dini (PG PAUD) Universitas Muhammadiyah Pontianak. Penelitian ini dilakukan dalam dua siklus yang menghasilkan peningkatan nilai rata-rata speaking performance mahasiswa secara signifikan yaitu dari 55.50 menjadi 68.50. Selain itu, persepsi mahasiswa terhadap penggunaan collocations sebagai Task-based Language Teaching dalam meningkatkan speaking fluency sangat baik dan positif karena metode ini melatih dan membiasakan untuk menggunakan istilah bahasa Inggris yang tepat, lazim, dan wajar seperti yang biasa digunakan oleh penutur asli / native speaker (88%), memberikan kesempatan mahasiswa untuk belajar bahasa Inggris secara komunikatif dan kolaboratif (85%), dan meningkatkan rasa percaya diri dalam hal kelancaran dan kefasihan (82%) serta menambah pengetahuan tentang frasa dan penggabungan kata (87%). Oleh karena itu, pembelajaran bahasa Inggris berbasis tugas menunjukkan bahwa penggunaan collocations sebagai task-based language teaching efektif dalam meningkatkan speaking fluency mahasiswa.
Economic Losses of Non-Exclusive Breastfeeding in East Nusa Tenggara
Authors: Sihaloho Estro Dariatno , Rahma Rahma , Senja Wandira Larasati , Pitriyan Pipit , Siregar Adiatma Y.M 
Published: January 2020

<p align="justify"><em>The knowledge of the importance of exclusive breastfeeding is still low in East Nusa Tenggara. Many families have started providing complementary foods like bananas or porridge, to their babies when they are only 2 months old. Providing complementary foods since babies 2 months old will increase the possibility of diarrhea and pneumonia/respiratory of babies. This study has three objectives. The first objective tries to estimate the economic impact of non-breastfeeding in East Nusa Tenggara. The second objective tries to calculate the health system medical cost and the third objective tries to calculate the patient/non-medical cost. This paper calculates the patient cost from 153 patient data collected from Kupang district in 2016. This paper estimates the economic impact by combining the health system cost, patient/non-medical cost with the prevalence data from IDHS 2012. This study finds that total economic losses caused by non-exclusive breastfeeding due to diarrhea and pneumonia/respiratory about US$ 2,718,497. This study finds the average cost due to non-exclusive breastfeeding for diarrhea cases about US$ 9.3 and PRD cases about US$8.4.</em><em></em></p><p><br /><em></em></p>
Strategi Manajemen Meningkatkan Kinerja dan Pelayanan Anggota Koperasi Produksi Pedagang Kota Depok
Authors: Shahreza Dhona , Lindiawatie Lindiawatie 
Published: January 2020

<p class="15" align="justify">Koperasi Produksi Pedagang Kota Depok (KPPD) berdiri sejak 2016 namun kehadirannya tidak mampu menarik pedagang mikro dan kecil di pasar untuk aktif menjadi anggota. Bahkan, kini hanya 50 orang anggota yang aktif dari 300 orang yang terdaftar. Penelitian ini bertujuan untuk merumuskan strategi manajemen KPPD dalam meningkatkan kinerja dan pelayanan kepada anggotanya. Metode kualitatif deskriptif diterapkan dengan pengumpulan data melalui wawancara terstruktur dan semi terstruktur terhadap pengurus dan pengelola koperasi, dokumentasi dan observasi langsung ke koperasi. Teknik analisis data menggunakan analisis SWOT dengan mengidentifikasi faktor eksternal dan internal untuk mendapatkan matriks SWOT. Hasil penelitian merumuskan strategi manajemen yang fokus pada peningkatan aset dan profit dengan cara membuat dan meningkatkan kualitas produk/jasa dan memperluas saluran pemasaran. Adapun strategispesifik yang dirumuskan berupa: 1) Strategi SO dengan cara meningkatkan kualitas SDM, Perluasan usaha tidak saja berupa simpan pinjam, meningkatkan komitmen pengurus, Memperkuat pangsa pasar; 2) Strategi STdengancara membangun fasilitas yang memadai, meningkatkan kepercayaan anggota dan calon anggota, menetapkan strategi pemasaran; 3) Strategi WOdengancara menambah modal baru, memperketat syarat pinjaman, meningkatkan komitmen anggota,meningkatkan promosi, meningkatkan kualtitas pelayanan dan 4) Strategi WT dengan cara meningkatkan strategi manajemen yang efektif dan efisien, menampilkan keunggulan produk yang berdaya saing, bekerja sama dengan pemerintah untuk memperkuat koperasi.</p><p class="15" align="justify"> </p>
Analysis for Development of Mocaf-Based Functional Food Industry in Indonesia
Authors: Triyono Budi , Handoyo Setiowiji , Laili Nur 
Published: January 2020

Indonesia is a country having abundant natural resources, including nutritious plants as a source of food and medicine. Along with the increasing public awareness of the importance of healthy living, there is a great shift in the demand of food. At present, people do not only want foods that have good nutritional composition as well as attractive appearance and taste, but also the ones that have certain physiological functions for the body. The foods that have such functions are known as functional foods. One ingredient that has the potential to be developed into functional food is mocaf flour. It is made from cassava which is made from the fermentation principle by modifying the cassava cells. This study aims to reveal the conditions for the development of the functional food industry made from mocaf flour in Indonesia using the value chain approach. This study was a qualitative research by using multiple case studies along the value chain. The data were collected from review of secondary data, in-depth interviews, and observations in each case study. The case study locus was the center of the mocaf-based food industry in West Java. The results showed that (i) the mocaf-based functional food industry in Indonesia was not developed; (ii) the development of mocaf-based industries was constrained by the high cost of cassava raw materials; (iii) the productivity of cassava plants was still low; (iv) the role of R & D institutions was very much needed; and (v) government intervention is needed.JEL Classification: L88, O00, Q18
The Implementation of Clique Strategy in Regrouping Program to Increase Farmer’s Interest and Loyalty in Sugarcane Farming
Authors: Permadhi Danang , Dianpratiwi Trikuntari 
Published: January 2020

The area size of sugarcane planting nationally shows a decrease. This is also marked by a decrease in the interest of farmers planting sugarcane and low loyalty to the sugar factory. In 2014, the government established a sugarcane management regrouping program. The regrouping program provides benefits for the efficiency of sugarcane planting, more effective in cutting and transport processes, forging farmer group and sugar factory, and increasing farmers' loyalty to the sugar factory. The weakness of the regrouping program is that it emphasizes technical aspects only. The criterion of the social aspect is essential because this always saves problems related to communication networks and establishing cooperation. Through the clique strategy, this can conduct a communication network analysis in regrouping. Regrouping programs can build social interaction and communication networks. The form and level of communication network structure in the regrouping program can place actors or farmers build communication networks and cooperate in sugarcane farming. Understanding the role of cooperation networks between farmers or groups determines the success of regrouping sugarcane.JEL Classification: P32, O35, Q18
USING MODIFICATION OF PRIM’S ALGORITHM AND GNU OCTAVE AND TO SOLVE THE MULTIPERIODS INSTALLATION PROBLEM
Authors: Wamiliana Wamiliana , Usman M. , Warsito Warsito , Warsono Warsono , Daoud Jamal I. 
Published: January 2020

The Minimum Spanning Tree (MST) is one of the famous problems that is used mostly as the backbone in many network design problems. Given a graph G(V,E), where V is the set of vertices and E is the set of edges connecting vertices in V, and for every edge eij there is an associated weight cij ?0. The Multi Period Degree Constrained Minimum Spanning Tree (MPDCMST) is a problem of finding an MST while also considering the degree constrained on every vertex, and satisfying vertices installation requirement on every period. Two algorithms (WWM1 and WWM2) are proposed for solving this problem. GNU OCTAVE is used for coding and visualization. GNU is a recursive acronym for "GNU's Not Unix!", and that name is chosen because it is like Unix but differs from Unix because it is free and contains no Unix code. Those algorithms were implemented using 300 randomly generated problems. Moreover, we compare WWM1 and WWM2 algorithms using existing data from the literature and the results show that WWM2 is the best.
ABSTRAK: Minimum Spanning Tree (MST) merupakan salah satu masalah mahsyur yang banyak digunakan sebagai tulang belakang kepada masalah banyak rekaan jaringan. Menerusi graf G(V,E), di mana V adalah himpunan titik dan E adalah himpunan garis yang menghubungkan titik-titik dalam V, dan bagi setiap garis eij terdapat berat berhubung cij ?0, Multi-period Degree Constrained Minimum Spanning Tree (MPDCMST) merupakan masalah dalam menentukan MST, pada masa sama turut menimbangkan kekangan pada setiap titik vertek, dan memenuhi syarat keperluan pemasangan pada setiap detik. Dua algoritma (WWM1 dan WWM2) dicadangkan bagi menyelesaikan masalah ini. GNU OCTAVE digunakan bagi pengaturcaraan dan visualisasi. GNU merupakan suatu singkatan kepada “GNU's Not Unix”, dan nama tersebut dipilih karena ianya seperti Unix, tetapi berbeza dari Unix kerana ia percuma dan tidak mempunyai kod Unix. Algoritma tersebut dilaksana dengan menggunakan 300 masalah terhasil secara rawak. Tambahan, algoritma WWM1 dan WWM2 dibandingkan dengan kajian terdahulu dan hasil kajian menunjukkan WWM2 adalah terbaik.
OPTIMIZATION OF THE REGULARIZATION OF THE SOLUTION OF THE PLATE HEAT TRANSFER PROBLEMS
Authors: Akter Farjana Farjana , Abdumalik Rakhimov  , Ahsan Ali Khan  , Torla bin Hj Hasan  
Published: January 2020

Optimization of the regularization of the Fourier series in the case of a steady state heat transfer plate and heat transfer insulated plate problems are investigated and the regularization of the series solutions at a fixed point on the plates are studied at initial time and critical index.
ABSTRAK: Pengoptimuman aturan siri Fourier telah dikaji pada keadaan tetap masalah plat pindah haba dan plat penebat pindah haba. Penyelesaian bersiri secara aturan pada titik tetap plat telah dikaji pada masa mula dan indeks penting.
PARALLEL PROCESS DISCOVERY USING A NEW TIME-BASED ALPHA++ MINER
Authors: Effendi Yutika Amelia , Sarno Riyanarto 
Published: January 2020

A lot of services in business processes lead information systems to build huge amounts of event logs that are difficult to observe. The event log will be analysed using a process discovery technique to mine the process model by implementing some well-known algorithms such as deterministic algorithms and heuristic algorithms. All of the algorithms have their own benefits and limitations in analysing and discovering the event log into process models. This research proposed a new Time-based Alpha++ Miner with an improvement of the Alpha++ Miner and Modified Time-based Alpha Miner algorithm. The proposed miner is able to consider noise traces, loop, and non-free choice when modelling a process model where both of original algorithms cannot override those issues. A new Time-based Alpha++ Miner utilizing Time Interval Pattern can mine the process model using new rules defined by the time interval pattern using a double-time stamp event log and define sequence and parallel (AND, OR, and XOR) relation. The original miners are only able to discover sequence and parallel (AND and XOR) relation. To know the differences between the original Alpha++ Miner and the new one including the process model and its relations, the evaluation using fitness and precision was done in this research. The results presented that the process model obtained by a new Time-based Alpha++ Miner was better than that of the original Alpha++ Miner algorithm in terms of parallel OR, handling noise, fitness value, and precision value.
ABSTRAK: Banyak sistem perniagaan perkhidmatan menghasilkan sejumlah besar log data maklumat yang payah dipantau. Log data ini akan dianalisis menggunakan teknik proses penemuan bagi memperoleh model proses dengan menerapkan beberapa algoritma terkenal, seperti algoritma deterministik dan algoritma heuristik. Semua algoritma ini memiliki kehebatan dan kekurangannya dalam menganalisis dan mencari log data ke dalam model proses. Kajian ini mencadangkan Time-based Alpha++ Miner baru yang merupakan pembaharuan dari algoritma Alpha++ Miner dan Modified Time-based Alpha Miner. Algoritma baru ini dapat mempertimbangkan kesan bunyi, pusingan, dan pilihan tidak bebas ketika memodelkan model proses di mana kedua algoritma asal tidak dapat menggantikan isu tersebut. Time-based Alpha++ Miner baru mengguna pakai Pola Interval Waktu berjaya memperoleh model proses menggunakan peraturan baru berdasarkan Pola Interval Waktu menggunakan log peristiwa waktu-ganda dan menentukan jujukan dan hubungan selari (AND, OR, dan XOR). Dibandingkan algoritma asal, ia hanya dapat menemukan jujukan dan hubungan selari (AND dan XOR). Bagi membezakan Alpha++ Miner asal dan yang baru termasuk model proses dan kaitannya, penilaian menggunakan nilai padanan dan penelitian telah dijalankan dalam kajian ini. Hasil kajian model proses yang diperoleh oleh Time-based Alpha++ Miner baru, adalah lebih baik keputusannya berbanding menggunakan algoritma Alpha++ Miner asal, berdasarkan hubungan selari OR, bunyi kawalan, nilai padanan, dan nilai penelitian.
AN ENHANCED PACKET SCHEDULING ALGORITHM FOR THE DOWNLINK COGNITIVE LONG TERM EVOLUTION-ADVANCED
Authors: Mohd Ramli Huda Adibah , Mansor Mohamad 'Ismat Hafizi 
Published: January 2020

A packet scheduling algorithm known as Enhanced Maximum-Largest Weighted Delay First (EM-LWDF) is proposed in this paper. It aims to maximize the number of Real Time (RT) and Non Real Time (NRT) users that meet their desired Quality of Service (QoS) in the cognitive Long Term Evolution-Advanced (LTE-A). This cognitive LTE-A allows its Component Carriers (CCs) to be combined with licensed CCs from another system. This enables the LTE-A to further expand the available bandwidth for packet transmission. The EM-LWDF algorithm decides the priority of each user on the basis of the desired QoS of each packet, the urgency of each packet, channel quality and the average throughput. The potential of this algorithm is validated via computer simulation where it is able to simultaneously maximize more users that meet their desired QoS in realistic RT and NRT multimedia of the downlink cognitive LTE-A.
ABSTRAK: Algoritma penjadualan paket yang dikenali sebagai Enhanced Maximum-Largest Weighted Delay First (EM-LWDF) dicadangkan dalam kertas ini. Ia bertujuan untuk memaksimumkan bilangan pengguna Real Time (RT) dan Non Real Time (NRT) yang memenuhi Kualiti Perkhidmatan yang dikehendaki (QoS) dalam system kognitif Long Term Evolution-Advanced (LTE-A). Kognitif LTE-A ini membolehkan Carrier Component (CC) untuk digabungkan dengan CC berlesen dari sistem lain. Ini membolehkan LTE-A untuk memperluaskan jalur lebar yang tersedia bagi penghantaran paket. Algoritma EM-LWDF menentukan keutamaan setiap pengguna berdasarkan QoS yang dikehendaki dari setiap paket, kecemasan setiap paket, kualiti saluran dan purata penghantaran. Potensi algoritma ini disahkan melalui simulasi komputer di mana ia dapat memaksimumkan lebih banyak pengguna yang memenuhi QoS yang dikehendaki mereka dalam realistik RT dan NRT multimedia dari downlink sistem kognitif LTE-A.
NUMERICAL ALGORITHM FOR FINDING OPTIMAL INITIAL CONCENTRATIONS OF CHEMICAL REACTIONS
Authors: Mustafina Svetlana , Andrey Andrey Antipin , Antipina Evgenia , Mustafina Sofia Mustafina , Odinokova Elena , Tuchkina Larisa , Kolyazov Konstantin Kolyazov 
Published: January 2020

This article is devoted to the problem of developing methods for mathematical modelling in the sphere of optimal planning in a chemical experiment. In the article, the problem of finding the optimal ratio for initial concentrations of substances is formulated in general terms and an algorithm for solving this problem is constructed basing on the method of artificial immune systems. The developed algorithm for finding the optimal initial concentrations of substances allows solving the problem of experiment planning in chemistry at the computational experiment stage. In this case, the solution of the optimization problem found with its help does not depend on the choice of the initial approximation. The algorithm was tested for the industrially meaningful process of benzilidenebenzilamine synthesis for which the optimum values of the initial concentrations were calculated in order to obtain maximum yield of the reaction product.
ABSTRAK: Artikel ini ditujukan untuk masalah mengembangkan kaedah pemodelan matematik dalam bidang perancangan optimum dalam percubaan kimia. Dalam artikel itu, masalah mencari nisbah optimum untuk konsentrasi awal bahan digubal secara umum dan algoritma untuk menyelesaikan masalah ini dibina berdasarkan kaedah sistem imun buatan. Algoritma yang dibangunkan untuk mencari kandungan konsentrasi awal yang optimum membolehkan menyelesaikan masalah perancangan percubaan dalam kimia pada peringkat percubaan pengkomputeran. Dalam kes ini, penyelesaian masalah pengoptimuman yang didapati dengan bantuannya tidak bergantung pada pilihan permulaan awal. Algoritma ini telah diuji untuk proses sintesis benzilidenebenzilamin yang bermakna industri yang mana nilai-nilai optimum kepekatan awal dikira untuk mendapatkan hasil maksimum produk reaksin.
NUMERICAL STUDY OF ARGON EFFECT ON NITROGEN SEPARATION FROM AIR BY PRESSURE SWING ADSORPTION
Authors: Abdulbasit Hassan Mahdi  , Salih Suhaib , Heba Sa’ady Ayuob  , Tushar Ghosh  
Published: January 2020

A mathematical model was used to design four modes of two-bed pressure swing adsorption (PSA) process to investigate argon presence in the feed mixture. The effect of operating parameters such as cycle time, pressure equalization, adsorption pressure, and purging flow rate was investigated. The model was validated with experimental data of nitrogen separation from the air by a single bed adsorber on carbon molecular sieve (CMS). A good agreement with experimental data is obtained. In the PSA process, higher purity of nitrogen (99.7%) was detected by mode 4 when the feed mixture was free of argon (O2: 21%, N2:79%). While the nitrogen purity was only 98.0% in the state of argon presence in the feed mixture (O2: 21%, N2: 78%, Ar: 1%). The results showed that the cycle time had insignificant effect whereas the pressure equalization and purging at low vacuum pressure had a significant effect on the process performance.
ABSTRAK: Model matematik digunakan bagi membina empat mod terdiri daripada tekanan dua-turus proses penyerapan buai (PSA) bagi menyiasat kehadiran argon dalam campuran pakan. Kesan parameter beroperasi seperti masa kitaran, penyamaan tekanan, tekanan penyerapan, dan kadar aliran penyingkiran disiasat. Model matematik tersebut disiasat melalui data eksperimen pemisahan nitrogen dari udara melalui penyerapan turus tunggal pada penapis molekular karbon (CMS). Data eksperimen yang bagus diperoleh. Dalam proses PSA, mod keempat menghasilkan ketulenan nitrogen (99.7%) lebih tinggi apabila campuran pakan bebas argon (O2: 21%, N2:79%). Sementara itu, ketulenan nitrogen hanya 98.0% apabila terdapat kehadiran argon dalam campuran pakan (O2: 21%, N2: 78%, Ar: 1%). Kajian menunjukkan masa kitaran memberi kesan tidak signifikan sementara penyamaan tekanan dan penyingkiran pada tekanan vakum rendah mempunyai kesan signifikan terhadap prestasi proses.
DIABETES DIAGNOSIS BASED ON KNN
Authors: Ali Ameer , Alrubei Mohammed A. T. , Hassan Laith Falah Mohammed , Al-Ja'afari Mohannad A. M. , Abdulwahed Saif H. 
Published: January 2020

Diabetes is a life-threatening syndrome occurring around the world; it can have huge complications and is documented by large amounts of medical data. Therefore, attempts at early detection of this disease took a large area of research and many methods were used to deal with diabetes. In this paper, different types of KNN algorithm have been used to classify diabetes disease using Matlab. The dataset was generated by the criteria of the American diabetes association. For the training stage, 4900 samples have been used by the classifier learner tool to observe the results. Then, 100 of the data samples were used for the test. The results show that the KNN types (Fine, Weighted, Medium and Cubic) give high accuracy over the Coarse and the Cosine methods. Fine KNN is considered the most suitable according to its accuracy of classified samples.
ABSTRAK: Penyakit kencing manis adalah sindrom penyakit ancaman nyawa yang berlaku di seluruh dunia dan ia mempunyai data perubatan yang besar serta komplikasi tinggi. Oleh itu, cubaan dalam mengesan awal penyakit ini mempunyai potensi luas dalam kajian dan banyak kaedah telah digunakan bagi mengkaji penyakit kencing manis. Dalam kajian ini, pelbagai jenis algoritma KNN telah digunakan bagi mengelas penyakit kencing manis menggunakan Matlab. Setdata dihasilkan berdasarkan kriteria Kesatuan Kencing Manis Amerika. Pada peringkat latihan, sebanyak 4900 sampel telah digunakan oleh pelatih alat pengelasan bagi memantau dapatan kajian. Kemudian, 100 daripada sampel data telah digunakan bagi ujian. Keputusan menunjukkan jenis KNN (Halus, Berat, Sederhana dan Kubik) lebih tepat berbanding kaedah Kasar dan Kosinus. KNN Halus di dapati lebih sesuai berdasarkan ketepatan sampel pengelasan.