bluuebunny/crossref_metadata_2025 huggingface dataset:
RANCANG BANGUN SISTEM PAKAR DETEKSI KERUSAKAN C CRANE PADA PT. SWADAYA GRAHA MENGGUNAKAN METODE CERTAINTY FACTOR
Authors: Ahya Anugrah Vito , Cahya Rahmad  , Nurudin Santoso
Published: March 2019

Banyak  Pada  perusahaan  kontraktor  besar, Crane merupakan  alat  berat yang akan  selalu di butuhkan  dan memiliki  ketersediaan  dalam  jumlah  banyak.  Crane  tersebut  berperan  penting  dalam  sebuah  perusahaan kontraktor  besar, seperti PT. Swadaya  Graha. Peran Crane selain di gunakan  untuk  keperluan  perusahaan, juga dapat  menjadi  alat  berat  yang  dapat  disewakan  dengan  mobilitas  tinggi.  Dengan  mobilitas  Crane  yang  tinggi tentuakan  diperlukannya  pengecekan  dan  maintenance  secara  rutin  dan  tepat  untuk  mendeteksi  kerusakan  di bagian  manakah  yang  dialami  Crane  tersebut  agar  ketika  proses  penggunaan  operasional  tidak  menimbulkan masalah  dan  kerugian yang besar. Dalam proses perbaikan  sendiri Crane memiliki  banyak  bagian  dan  seluruh bagian  tersebut  harus di cek  dengan  teliti  oleh  para  teknisi area sehingga  petugas overhaul dapat  menyimpulkan kerusakan  apa  yang  dialami  oleh  Crane  dan  bagian  mana  yang  perlu  mendapatkan  maintenance.  Terbatasnya jumlah  petugas overhaul dan  banyaknya  jumlah Crane yang dimiliki  oleh PT. Swadaya  Graha  merupakan  suatu penghambat  untuk  mempercepat  proses  maintenance  Crane  tersebut.  Sehingga  baik  dalam  penggunaan  Crane maupun dalam penyewaan Crane tersebut sering mengalami masalah dan keterlambatan dikarenakan teknisi area hanya  mampu  untuk  melakukan  rekap  visual  namun  kurang  handal  dalam  menyimpulkan  kerusakan  yang dialami oleh Crane Aplikasi  Sistem  Pakar  ini  menghasilkan output berupa  kemungkinan  kerusakan yang dialami  oleh  bagian Crane berdasarkan  hasil  rekap visual oleh  teknsi area. Sistem  ini  juga  menampilkan  besarnya  prosentase  atau belief  pada  suatu  kerusakan  tersebut.  Besarnya  nilai  tersebut  melalui  perhitungan  dengan  metode  Certainty Factor
IMPLEMENTASI RASPBERRY PI UNTUK RANCANG BANGUN SISTEM KEAMANAN PINTU RUANG SERVER DENGAN PENGENALAN WAJAH MENGGUNAKAN METODE TRIANGLE FACE
Authors: Wijaya Indra Dharma , Nurhasan Usman , Barata Mula Agung
Published: March 2019

Minicomputer raspberry pi merupakan sebuah alat yang praktis dalam segi dimensi dan memiliki fungsi yang kompleks untuk berbagai kebutuhan fungsi yang akan digunakan oleh manusia sebagai microcontroller, server sampai dengan pengolahan citra digital. Penelitian dilakukan bertujuan untuk membantu memenuhi kebutuhan sistem keamanan ruang server yang mudah untuk diaplikasikan dan murah dalam segi biaya pembuatan dan perawatan serta berteknologi, mengingat pentingnya keamanan data dan informasi yang tersimpan dalam server sehingga perlu pengamanan dalam mengakses ruang server pada suatu perusahaan. Dengan memanfaatkan minicomputer raspberry pi sebagai pemroses dan usb webcam sebagai alat pendeteksi wajah yang kemudian akan diproses oleh raspberry pi dengan menggunakan OpenCV untuk menentukan wajah manusia atau bukan, lalu wajah tersebut akan masuk pada proses pengenalan wajah dengan metode triangle face yang memanfaatkan perhitungan jarak antar fitur wajah seperti mata, hidung dan mulut. Setelah wajah dikenali maka raspberry pi akan melakukan perintah pada servo untuk membuka pintu ruang agar dapat diakses oleh admin server pada suatu perusahaan. Berdasarkan pengujian sistem yang telah dilakukan, ternyata sistem pengenalan wajah menggunakan metode Triangle Face ini memiliki tingkat keakuratan 75%, kesalahan posistif 25% dan kesalahan negatif 0% sehingga dapat disimpulkan bahwa sistem ini cukup aman untuk diaplikasikan dalam sistem keamanan pintu ruang server.
IMPLEMENTASI STEGANOGRAFI MENGGUNAKAN METODE BIT PLANE COMPLEXITY SEGMENTATION PADA CITRA DIGITAL
Authors: Arianto Yuri , Ardiansyah Rizky , Al Kautsar Rachmad Jibril
Published: March 2019

Keamanan informasi dapat berupa menyembunyikan atau mengubah informasi. Dalam penelitian ini diterapkan cara mengamankan informasi dengan menyembunyikan informasi kedalam sebuah wadah seperti image, vidio dan audio, Teknik ini disebut Steganografi. Pada steganografi terdapat banyak metode yang dapat digunakan, kali ini Peneliti menggunakan metode Bit Plane Complexity Segmentation (BPCS). Pada metode BPCS informasi atau pesan disisipkan pada daerah bit plane yang mengandung noise. Metode ini memanfaatkan pengelihatan manusia yang tidak dapat melihat perubahan biner pada gambar. Pada penelitian ini Cover image yang digunakan adalah citra dengan format JPG, PNG, dan BMP. Sedangkan pesan yang disimpan kedalam citra berupa file dengan format .txt dan .docx. Proses pengujian dilakukan dengan menyisipkan file kedalam beberapa Cover image menggunakan aplikasi yang telah dibangun. Hasil pengujian menghasilkan stego image dengan nilai rata-rata PSNR antara 22 - 25 dB. Sedangkan rata-rata penyisipan pesan sebesar 40%. Penerapan teknik steganografi bermanfaat untuk menyembunyikan pesan dalam suatu media tanpa terdeteksi oleh pengelihatan manusia secara kasat mata.
MONITORING SUHU DAN KELEMBABAN MENGGUNAKAN SMS GATEWAY PADA PROSES FERMENTASI TEMPE SECARA OTOMATIS BERBASIS MIKROKONTROLER
Authors: Wijanarko Denny , Hasanah Soviatul
Published: March 2019

Dalam pembuatan tempe di pengaruhi oleh banyak hal terutama dipengaruhi oleh perubahan cuaca . Pada cuaca dingin, tempe biasanya ditutupi dengan kain atau penutup lain agar suhu fermentasi tempe tetap stabil sehingga proses fermentasi tempe dapat berlangsung secara normal. Tetapi dengan cara ini ,produsen tempe tidak mengetahui berapa suhu dan kelembabannya. Dengan berkembangnya teknologi mikrokontroler saat ini dibutuhkan suatu alat yang dapat mendeteksi suhu dan kelembaban, Sistem pengendalian sangat diperlukan di dalam dunia industri untuk menghasilkan produk yang bagus maka diperlukan suatu sistem pengendalian yang stabil. Pada alat ini pengontrolan sistem dilakukan oleh Mikrokontroler Arduino UNO yang mempunyai input berbentuk sensor sht11, sensor ini akan mendeteksi suhu dan kelembaban yang berada dalam Inkubator dan menampilkannya pada LCD dan memonitoring melalui SMS Gateway. Inkubator menggunakan sebuah Lampu yang berfungsi sebagai pemanas dengan cara kerja mengeluarkan panas pada Inkubator, dan menggunakan 4 buah tombol setting yang berfungsi sebagai pengatur suhu dan kelembaban. Pengaturan batas suhu dan kelembaban di atur didalam program juga dapat di ubah menggunakan tombol yang ada di mikrokontroler.
IMPLEMENTASI SISTEM PAKAR FORWARD CHAINING UNTUK IDENTIFIKASI DAN TINDAKAN PERAWATAN JERAWAT WAJAH
Authors: Kusbianto Deddy , Ardiansyah Rizky , Hamadi Dzaki Alwan
Published: March 2019

Jerawat adalah suatu keadaan di mana pori-pori kulit tersumbat sehingga menimbulkan kantung nanah yang meradang. Kemungkinan besar perubahan hormonal yang merangsang kelenjar minyak di kulit yang menjadi penyebab timbulnya jerawat. Jerawat merupakan penyakit kulit yang cukup besar jumlah penderitanya. Seringkali orang awam mengalami kesulitan dalam melakukan proses identifikasi antara penyakit jerawat dengan penyakit yang mirip dengan jerawat, karena gejala yang ditimbulkan dari penyakit hampir sama. Berdasarkan permasalahan tersebut, perlu adanya pengembangan sistem pakar untuk identifikasi dan tindakan perawatan jerawat wajah menggunakan metode forward chaining. Sistem yang dirancang dan diimplementasikan berbasis Dekstop, menggunakan bahasa pemrograman Visual Basic, dan basis data XAMPP, dengan berisikan 7 data penyakit, 32 data gejala penyakit dan 18 data tindakan pengobatan penyakit. Sistem ini juga telah diuji coba dan divalidasi oleh pakar serta beberapa user. Hasilnya didapatkan persentase sebesar 83.3 % yang menunjukan bahwa aplikasi sistem pakar ini cukup efektif.
IMPLEMENTASI WEB CRAWLER DAN PERANGKINGAN DATA HOTEL MENGGUNAKAN METODE ANP
Authors: Rohadi Erfan , Arhandi Putra Prima , Faza Sabilah
Published: March 2019

Website hotel merupakan website yang menyediakan pencarian dan booking kamar hotel. Pada saat ini, banyak website hotel yang menawarkan kemudahan untuk melihat dan memesan kamar hotel. Namun, website pencarian hotel tersebut memiliki harga kamar yang berbeda-beda. Dengan banyaknya pilihan ini dapat membuat pengguna / pencari hotel kesulitan untuk mendapatkan hotel yang sesuai dengan prioritas dan anggaran yang direncanakan. Sistem pendukung keputusan yang dibuat ini digunakan pengguna / pencari hotel dalam membandingkan harga kamar hotel dari beberapa website pencarian sesuai dengan kebutuhan menggunakan metode Analytic Network Process (ANP). Proses ini diawali dengan menginputkan kriteria dan alternatif hotel kemudian dilakukan crawling untuk mengolah nilai perbandingan kriteria dari hotel yang ada di beberapa website untuk selanjutnya akan dilakukan perangkingan data hotel. Dari hasil pengujian dapat berjalan sesuai akurasi 80% dan telah diujikan dengan menggunakan kuisioner, yang artinya aplikasi ini dapat digunakan oleh pengguna / pencari hotel agar dapat membandingkan harga sebuah hotel dari berbagai layanan online.
IMPLEMENTASI METODE FISHER-YATES SHUFFLE DAN FUZZY TSUKAMOTO PADA GAME 2D GOPOH BERBASIS ANDROID
Authors: Ekojono Ekojono , Cahyaningrum Rizkyna , Batubulan Kadek Sarjuna
Published: March 2019

Perkembangan teknologi saat ini membuat banyak game yang dapat dimainkan oleh masyarakat hanya sebagai hiburan, sehingga diperlukan sebuah game yang mempunyai sisi edukatif. Salah satunya dalam game dapat diterapkan pembelajaran operasi hitung untuk melatih siswa dalam mempelajari materi operasi hitung. Pendekatan dengan visualisasi aplikasi yang menarik diharapkan dapat mampu membantu pembelajaran siswa tingkat sekolah dasar, khususnya kelas 1 dalam melatih kemampuan berhitungnya pada operasi hitung penjumlahan dan pengurangan. Metode Fisher-Yates Shuffle merupakan algoritma yang digunakan untuk mengambil angka permutasi secara acak. Metode Tsukamoto, pada tiap aturan direpresentasikan menggunakan himpunan fuzzy, dengan menggunakan fungsi keanggotaan yang monoton. Untuk bisa menentukan nilai output crisp atau hasil tegas. Dengan menggunakan Unity 3D game engine yang mampu membuat game 2D maka diterapkanlah metode Fisher-Yates Shuffle sebagai pengacak soal dan Fuzzy Tsukamoto sebagai penentuan score akhir permainan. Pengujian yang telah dilakukan menunjukkan dari hasil kuisioner bahwa game 2d Gopoh pada aspek functionality mendapat hasil sebesar 3.97 dari skala 5. Untuk aspek efficiency mendapat perolehan sebesar 4.23 dari skala 5. Untuk aspek usability mendapat perolehan 4 dari skala 5. Dari hasil rata – rata masing masing aspek tersebut dapat disimpulkan bahwa responden menjawab baik pada masing masing aspek untuk game Gopoh tersebut.
IMPLEMENTASI ANALISIS CLUSTERING DAN SENTIMEN DATA TWITTER PADA OPINI WISATA PANTAI MENGGUNAKAN METODE K-MEANS
Authors: Syaifudin Yan Watequlis , Irawan Rizki Andi
Published: March 2019

Analisis sentimen atau opinion mining merupakan topik riset dari cabang penelitian text mining. Fokus dari analisis sentimen adalah melakukan analisis opini dari suatu dokumen teks, sehingga membantu usaha untuk melakukan riset pasar atas opini publik. Data opini diperoleh dari jejaring sosial Twitter dalam Bahasa Indonesia dengan topik suatu pantai.Klasifikasi opini diperlukan untuk memudahkan pengguna dalam melihat opini positif, negatif, ataupun netral. Algoritma yang digunakan dalam klasifikasi adalah Support Vector Machine. Pada penelitian digunakan dataset dari 10 pantai yang ada di Indonesia sebanyak 500 tweet. Hasil akurasi dari klasifikasi menggunakan algoritma Support Vector Machine sebesar 74,39%. Selanjutnya data opini dari kuesioner ditambahkan untuk mengelompokkan pantai berdasarkan ketersediaan sumber daya, fasilitas, akses, kesiapan masyarakat, potensi pasar dan posisi pariwisata. Dalam proses pengelompokan data ini digunakan metode K-Means.
SISTEM PAKAR EMOSI WANITA JAWA MENGGUNAKAN METODE CERTAINTY FACTOR
Authors: Rosiani Ulla Delfana , Permatasari Twisty Henras , Yunhasnawa Yoppy
Published: March 2019

Sistem pakar yang merupakan bagian dari kecerdasan buatan adalah sistem komputer yang mampu menirukan penalaran seorang pakar dengan keahlian tertentu. Sistem pakar yang berupa perangkat lunak dapat menggantikan peran seorang pakar (manusia) dalam proses pengambilan keputusan berdasarkan gejala-gejala yang disuplai oleh operator. Sampai pada tingkat keyakinan (certainty) tertentu.  Pada karya tulis ini dijelaskan sistem pakar emosi wanita Jawa mengenai implementasi sistem pakar dalam studi kasus tingkat emosi wanita Jawa. Faktor penentu yang digunakan dalam proses pengambilan keputusan. Pada sistem ini bergantung pada 2 tipe masukan yang pertama adalah pertanyaan yang diberikan kepada responden terkait dengan aspek suami, anak, orang tua, saudara dan pekerjaan mereka sedangkan faktor yang kedua adalah nilai-nilai CF pakar yang didapat dari seorang pakar. Pada akhirnya, nilai yang didapat dari kedua faktor tersebut akan diproses menggunakan rumus certainty factor. Sistem yang dibuat hanya dapat digunakan oleh wanita Jawa. User harus memberikan jawaban dari semua pertanyaan yang diberikan oleh sistem. Setelah semua pertanyaan dijawab, sistem akan menampilkan hasil nilai untuk mengidentifikasi bahwa user tersebut  mempunyai tingkat emosi tidak pemarah, agak pemarah, cukup pemarah, pemarah, atau sangat pemarah. Selanjutnya sistem akan memberi saran yang sesuai dengan tingkat emosi user. Tingkat keakurasian yang didapatkan pada sistem ini adalah 100%.
IMPLEMENTASI EXPLICIT SEMANTIC ANALYSIS BERBAHASA INDONESIA MENGGUNAKAN CORPUS WIKIPEDIA INDONESIA
Authors: Faisal Rahutomo  , Saputra Pramana Yoga , Carfin Febriawan Pratama Putra
Published: March 2019

Pengembangan terhadap Ujian Online Bahasa Indonesia dalam bentuk esai masih terus dilakukan sampai sekarang guna memperoleh nilai akurasi yang lebih baik dalam memberikan suatu penilaian. Penilaian yang sudah ada saat ini masih menggunakan kemiripan kata pada teks kunci jawaban dan teks jawaban. Cara tersebut memiliki kelemahan mengingat kata dengan tulisan berbeda dapat memiliki makna yang sama. Masalah tersebut dapat diatasi menggunakan skema vektor konsep. Vektor konsep bekerja pada level makna dari sebuah kata. Skema vektor konsep ini dapat diimplementasikan salah satunya menggunakan metode Explicit Semantic Analysis (ESA). Metode ESA memerlukan sebuah korpus yang besar, penelitian ini akan menggunakan korpus dari Artikel Wikipedia Indonesia. Dengan menggunakan metode ESA proses penilaian akan dilakukan dengan membandingkan kemiripan makna dari teks kunci jawaban dengan teks jawaban. Pengujian dilakukan dengan membandingkan 400 teks jawaban soal esai online dengan kunci jawabannya. Dari hasil pengujian tersebut didapatkan kesimpulan bahwa nilai percentage error metode ESA adalah 65%, di mana angka tersebut merupakan probabilitas error yang terlalu tinggi. Pengujian lain yang dilakukan adalah dengan membandingkan nilai percentage error metode ESA dengan metode lain seperti Cosine Similarity, Euclidean Distance, dan Jaccard yang memberikan konklusi bahwa metode ESA tidaklah lebih akurat dari metode-metode lain tersebut.
IMPLEMENTASI METODE NAIVE BAYES UNTUK INTRUSION DETECTION SYSTEM (IDS)
Authors: Arief Prasetyo  , Luqman Affandi  , Dedi Arpandi
Published: March 2019

IDS berfungsi untuk mengidentifikasi traffic atau lalu-lintas data pada sebuah jaringan komputer dimana IDS dapat menentukan apakah traffic aman, mencurigakan atau bahkan terindikasi merupakan serangan. Permasalahan muncul ketika ada aktifitas-aktifitas yang mencurigakan atau bahkan aktifitas tersebut merupakan serangan namun tidak terdaftar pada rule atau aturan yang diinputkan sehingga hal itu sangat membahayakan sebuah jaringan komputer.  Tujuan dari penellitian ini adalah membangun sistem deteksi pola serangan baru menggunakan metode naive bayes untuk mengatasi serangan-serangan baru yang muncul, dan yang belum terdaftar pada signature serta untuk meningkatkan akurasi pendeteksian serangan-serangan baru pada Intruison Detection System (IDS). Data yang digunakan pada penelitian ini adalah data NSL-KDD, NSL-KDD telah menyediakan data training dan data testing untuk proses penelitian klasifikasi serangan. Dari data NSL-KDD akan dilakukan klasifikasi serangan menggunakan metode naive bayes agar serangan-serangan baru dapat terklasifikasi.  Penelitian yang menggunakan metode naive bayes ini telah berhasil melakukan klasifikasi serangan-serangan baru dengan akurasi kebenaran adalah sebesar 81-84,67 %.
IMPLEMENTASI FSM (FINITE STATE MACHINE) PADA GAME PERJUANGAN PANGERAN DIPONEGORO
Authors: Hormansyah Dhebys Suryani , Ariadi Retno Tri Hayati Ririd  , Pribadi Dedy Teguh
Published: March 2019

Ilmu teknologi hari demi hari semakin menunjukkan perkembangan di berbagai bidang, teknologi game adalah salah satunya. Game adalah permainan yang menggunakan media elektronik, merupakan sebuah hiburan berbentuk multimedia yang di buat semenarik mungkin agar pemain bisa mendapatkan sesuatu sehingga adanya kepuasan batin. Bermain game juga merupakan salah satu saran pembelajaran. Generasi masa kini tampaknya lebih menikmati kebudayaan moderen dibanding sejarah. Salah satu faktor yang menyebabkan generasi muda Indonesia kurang paham akan sejarah kepahlawanan adalah kurang ditanamkannya rasa nasionalisme dan pengetahuan mengenai pahlawan Indonesia. Pangeran Diponegoro adalah sosok penting dalam sejarah Indonesia. Dialah yang menjadi penggerak utama perlawanan rakyat pada masa pendudukan Belanda di abad ke-18. Keterlibatan yang masif dari masyarakat Jawa dalam mendukung Pangeran Diponegoro menjadikan perlawanan ini sebagai salah satu perang besar yang harus diahadapi Belanda yang disebut sebagai Perang Jawa. Dibuatlah aplikasi game edukasi dengan mengangkat tokoh pahlawan Pangeran Diponegoro. Pada aplikasi ini akan diimplementasikan kecerdasan buatan dengan metode Finite State Machine (FSM) dimana akan mempermudah mengatur perilaku dari objek saat terjadi perubahan keadaan atau kondisi dalam permainan. Seiring  dengan  berkembangnya  game, seseorang  lebih memilih  untuk memanfaatkan  mobile  device  sebagai  salah satu  sarana  bermain  game, dimana aplikasi ini akan menggunakan sistem operasi Android. Aplikasi ini dibangun sebagai sarana hiburan dan edukasi mengenal lebih dekat tentang tokoh pahlawan Pangeran Diponegoro.
Adding Cognition to the Semanticscience Integrated Ontology
Authors: Reed Stephen k , Dumontier Michel
Published: March 2019

The goal of the NIMH RDoC initiative is to establish a biological basis for mental illness that includes linking cognition to molecular biology. A key challenge lies in how to represent such large, complex, and multi-scale knowledge in a manner that can support computational analysis, including query answering. Formal ontologies, such as the Semanticscience Integrated Ontology (SIO), offer a scaffold in which complex domain knowledge such as neurological and cognitive functions can be represented and linked to knowledge of molecular biology. In this article, we explore the use of SIO to represent concepts in molecular biology and in cognition. We extend SIO to traditional cognitive topics by illustrating axioms for both an information-processing and a neuroscience perspective on reading. We next discuss the NIMH RDoC taxonomy and include SIO axioms for the units-of-analysis and functions-of-behavior dimensions. An example demonstrates its use of deductive reasoning to establish causal relations across RDoC dimensions. From a broader perspective this article demonstrates how informatics can assist in integrating work in clinical psychology, cognitive psychology, cognitive neuroscience, computer science, molecular biology, and philosophy.
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN BEASISWA DENGAN METODE DECISION TRE ID3 PADA SMAN 2 CIBINONG KABUPATEN BOGOR
Authors: Sukmawati Linda
Published: March 2019

The selection of scholarships must be in accordance with established rules. The criteria set out in this case study are academic values, parents' income, number of siblings, number of dependents of parents, active organizations and others. Therefore not all who register as candidates for the scholarship will be accepted, only those who meet the criteria will get the scholarship. Because of the large number of participants who apply for scholarships, it is necessary to build a decision support system that will help determine who is entitled to get the scholarship. Therefore, this study seeks to provide a solution for the selection of students who deserve a scholarship in accordance with the criteria that have been determined by each to produce more accurate and faster data. Decision Tree ID3 method as a comparative test analysis model, as well as policy analysis is used to support appropriate decision making for the school board. ID3 Decision Tree is suitable for use in this case because it can make data classification accuracy and tree generated results are very easy to read by humans.
A RETROSPECTIVE ANALYSIS OF THE TERM AND PHENOMENON OF "VIRTUAL EDUCATIONAL SPACE" IN THE CONTEXT OF IMPLEMENTING OF INTERNATIONAL EDUCATIONAL ACTIVITIES
Authors: Hubska Hanna
Published: March 2019

The retrospective analysis of the term and phenomenon of "virtual educational space" revealed the need to develop a theoretical model of using the virtual educational environment, identifying ways of its effective application, where the implementation of international educational activities is not an exception. In addition, the virtualization of the educational environment also causes a certain number of threats regarding the risks of functioning in the conditions of real society and the self-identity of the individual due to, so to speak, virtual transitions from one virtual reality to another and existence in reality.
Transitivity and Modality in a Marriage Proposal Skit of English and Makassarese
Authors: Wahdaniyah Nur
Published: March 2019

Two languages are never considered to represent the same social reality in similar way sufficiently, especially in conveying the humour. The objectives of this research are to identify the patterns of transitivity and modality used to represent the humour in marriage proposal skit of English and Makassarese and also to explain the way of English and Makassarese humour maintain power of relationship in marriage proposal skit. This research was conducted by using Critical Discourse analytic approach of Fairclough and Halliday’s Theory particularly in transitivity and modality system of both English and Makassarese. The results of this research show that Halliday’s theory cannot cover all Makassarese data, especially in dividing process of functions in the level of ideational and interpersonal meaning of Makassarese data. In fact, in building their relationship through humour, English speakers tend to use many relational processes which they asked about the identity of their interlocutor and also use many deontic modality (desirability, obligation, and permission). In Makassarese data, speakers tend to use many material processes that they can know what happened with their interlocutor and what is their interlocutor doing. And also they use lack of deontic modality with no obligation category.
Late Prehistoric Burial System in South Sulawesi
Authors: Duli Akin , Rosmawati Rosmawati
Published: March 2019

This paper describes the forms of prehistoric burials in South Sulawesi. The results of this study indicate that there are different forms of burial has been known since the Neolithic period to ethnography period. The burial forms such as direct burial without the use of container, burial directly or indirectly by using containers. The container to be used such as a rock (stone coffin, gravel pit, stone carving), wood (erong, duni, allung, passilliran), ceramics (balubu, bowl, jar), or simply wrapped with a cloth or mat. Grave orientation is generally east-west or toward the sacred mountain, in accordance with their beliefs. The burial of corpses is accompanied by a burial tomb various provisions, such as ceramics, objects of metal (gold, copper and bronze), beads and bracelets. The patterned pre-Islamic burial system is still life in certain communities, for example various forms tomb in Tana Toraja and even in the early Islamic period.
A Comparative Study on Personal Deixis of English and Tukang Besi Language
Authors: Novianty Farah
Published: March 2019

AbstractThe research is about deixis expression in English and Tukang Besi language. This reasearch attempts to describe types of deixis in English and Tukang Besi language. Descriptive qualitative method is used to reveal the types of deixis that used in English and Tukang besi with contrastive analysis to find out the differences and similarities between personal deixis of English and Tukang Besi language. the total number of subject personal pronouns in English is seven: I, He, She, It, You, We, and They; while in Tukang Besi, there are also seven personal pronouns, they are; yaku,kita, kami, ko'o, komiu, iya, ammai. There are no word which has same meaning with "it" in Tukang Besi. Tukang Besi People only use the name of things directly without use an "it".
Code Switching on Students’ Group Presentation in EFL Classroom
Authors: Harmilawati Harmilawati
Published: March 2019

The study aimed to find out the functions of code switching used by the lecturer and the students during group presentation, and the lecturer and the students’ perception toward the use of code switching in EFL classroom during group presentation. This study is a qualitative research design. The subjects of the study were an English lecturer and three students in second semester of STKIP Muhammadiyah Bone, which were taken through convenience sampling technique. The data of this study were collected by employing classroom observation and interview. The data obtained were analyzed descriptively by using three steps, namely reducing, describing, and classifying. The result of the research showed that the lecturer employed code switching in EFL classroom during the students’ group presentation for some functions, namely to emphasize the important point, to reinforce a request, to ease of expression, to change of attitude relationship, checking for students’ understanding, lapses, self-correction, and speech connective. To emphasize the important point and reinforce a request became most frequently used by the lecturer. There were five functions of code switching used by the students during group presentation, namely to emphasize the important point, to suit the domain knowledge, to reinforce a request, to change of attitude relationship, and to self-correction. To suit the domain knowledge became the most frequently used by the students. The lecturer and the students’ perception towards the use of code switching in EFL classroom during group presentation were mostly positive. The lecturer and the students need code switching in teaching and learning English because it can make them easy to understand and comprehend from the material given. Code switching also effective in enlarging the students’ vocabulary, helped them to learn English, made them be more active in classroom interaction and influenced their fluency in speaking English.
The Power of Woman in Weiner’s Little Earthquakes
Authors: Soraya Andi Inayah
Published: March 2019

This research aimed to explain the power of women as a good wife and mother to face many problems in their life. It applies psychological Maslow’s theory, who proposes five steps of Hierarchy of Needs covering Psychological Needs, Safety Needs, Belongingness and Love Needs, Esteem Needs, and Self-Actualization. This research used descriptive qualitative method which used to analysis and explained how the psychological theory was applied in literary work focused on character analysis in this novel. The data in this research were taken from the dialogue and narration of the novel. The finding of analysis indicates that there are four mothers struggling to fulfill their needs in life. They are Becky, Kelly, Ayinde, and Lia. Based on the novel, those of characters have a lot of problems in their life. Not only problems, as human they also have kind of needs. To analyze their needs, the researcher connected with Hierarchy of needs by Maslow and found that they can fulfill all the steps start from Psychological, Safety, Belongingness, Esteem, and the high step is Self-Actualization. In spite of they need struggling which is not easy. But from their intention, support from each other called sisterhood, and love form people around them, they can solve their problem and fulfilled their needs.
Addressing ‘requests’ in Ambon: Appropriate Way to Ask a Request in Ambonese Community
Authors: Talaohu Ahmad Rifani
Published: March 2019

The notion of speech act as words or utterances used to say and do things in communication has been an interesting subject in linguistics field, especially in the cross-cultural communication. Among many speech act labels, request is the one that is commonly found in Indonesia, and even certain communities particularly in the eastern part (Ambonese) have their own way of delivering a request. This paper provides some data relating to request speech act and discusses how a request can affect the face of both speaker and hearer. Simply put in Ambon, the act of requesting something from someone cannot be carelessly carried out since several aspects such as cultural norms, social status, and even age differences must be taken into account. Moreover, politeness also holds crucial part in performing a request, as in a broader sense, when a speaker appears to have an impolite manner towards his/her interlocutor, it might potentially threaten the face of the hearer. And the result of losing a face will lead to a rejection of the request itself. Therefore, it is important to have an insight regarding how to perform a request appropriately in order to save someone’s face.
Discourses of Religious Violence and Christian Charity: The Christianization of Syria in Jacob of Sarug's 'On the Fall of the Idols'
Authors: Schwartz Daniel L.
Published: March 2019

This essay deals with rhetorical uses of violence in an important fifth-century corpus of Syriac sermons. It dissects the violence ostensibly advocated by Jacob and shows how he employed violent imagery to advocate instead for moral reform, an important aspect of how he hoped to Christianize Syria in this period.
Revealed Science
Authors: Stearns Justin K
Published: March 2019

The intellectual history of the Muslim world during the post-formative period is poorly understood compared to the centuries in which the initial development of the principal Islamic intellectual traditions occurred. This article examines the legal status of the natural sciences in the thought of the Moroccan scholar al-Ḥasan al-Yūsī (d. 1102/1691) and his contemporaries, both in terms of the categorization of knowledge and in terms of developments in conceptions of causality in post-formative Ashᶜarī theology. In the latter respect, I compare al-Yūsī’s writings on causality to those of his contemporary in Damascus, ᶜAbd al-Ghanī al-Nābulusī, with attention to the broader historiographic perils in comparing intellectual developments in the Early Modern period to those occurring in Europe. By placing al-Yūsī’s views in intellectual context, I seek to demonstrate how a more productive history of the natural sciences in the post-formative Muslim world might be written.
How Domestic Visitors Relate to Te Papa Museum: The Other Roles of Modern Museums
Authors: Abdel Fattah Ahmed , Eddy-U Mary E.
Published: March 2019

The roles of modern museums have been scrutinized theoretically in museum studies, critical theory, cultural studies, and other academic disciplines, but there is a lack of empirical insights into their actual functioning from the visitor's perspective. The functions of modern museums
are not so simple and straightforward as merely interactive learning experience and leisure. By drawing on the results of qualitative research that examined domestic visitors' motives and overall experiences at Te Papa museum in New Zealand, this study found that the nexuses between the physical
and personal contexts and the physical and social contexts reveal different roles of the modern museum. The role of the modern museum is much broader than merely providing infotainment and leisure for families on a Sunday afternoon. The museum is an important site for social learning experiences;
remembering historical and personal events; connecting visitors with the familiar and reinforcing their preexisting knowledge; and aesthetic, recreational, and restful experiences. These findings thereby offer interesting clues to museum practitioners to help them better understand their visitors
and the wider roles modern museums may play in visitors' experiences as well as rethink the mission and goals of these types of institutions.
OPTIMAL CONTROL IN MODELS WITH CONDUCTIVE‐RADIATIVE HEAT TRANSFER
Authors: Birgelis K.
Published: March 2019

In this paper an optimal control problem for the elliptic boundary value problem with nonlocal boundary conditions is considered. It is shown that the weak solutions of the boundary value problem depend smoothly on the control parameter and that the cost functional of the optimal control problem is Frechet differentiable with respect to the control parameter.
FUNCTIONALS WITH VALUES IN THE NON-ARCHIMEDEAN FIELD OF LAURENT SERIES AND THEIR APPLICATIONS TO THE EQUATIONS OF ELASTICITY THEORY
Authors: Radyna M.
Published: March 2019

Functionals with values in Non‐Archimedean field of Laurent series applied to the definition of generalized solution (in the form of shock wave) of the Hopf equation and equations of elasticity theory. Calculation method for the profile of shock wave is proposed. It is shown that there is a possibility to find out some of the solutions of this system using the Newton iteration method. Examples and numerical tests are considered.
The Effect of Dust Composition and Shape on Radiation-pressure Forces and Blowout Sizes of Particles in Debris Disks
Authors: Arnold Jessica A. , Weinberger Alycia J. , Videen Gorden , Zubko Evgenij S.
Published: March 2019

The light scattered from dust grains in debris disks is typically modeled as compact spheres using the Lorenz–Mie theory or as porous spheres by incorporating an effective medium theory. In this work we examine the effect of incorporating a more realistic particle morphology on estimated radiation-pressure blowout sizes. To calculate the scattering and absorption cross-sections of irregularly shaped dust grains, we use the discrete dipole approximation. These cross-sections are necessary to calculate the β-ratio, which determines whether dust grains can remain gravitationally bound to their star. We calculate blowout sizes for a range of stellar spectral types corresponding with stars known to host debris disks. As with compact spheres, more luminous stars blow out larger irregularly shaped dust grains. We also find that dust grain composition influences blowout size such that absorptive grains are more readily removed from the disk. Moreover, the difference between blowout sizes calculated assuming spherical particles versus particle morphologies more representative of real dust particles is compositionally dependent as well, with blowout size estimates diverging further for transparent grains. We find that the blowout sizes calculated have a strong dependence on the particle model used, with differences in the blowout size calculated being as large as an order of magnitude for particles of similar porosities.
Exploring the Very Extended Low-surface-brightness Stellar Populations of the Large Magellanic Cloud with SMASH
Authors: Nidever David L. , Olsen Knut , Choi Yumi , Boer Thomas J. L. de , Blum Robert D. , Bell Eric F. , Zaritsky Dennis , Martin Nicolas F. , Saha Abhijit , Conn Blair C. , Besla Gurtina , Marel Roeland P. van der , Noël Noelia E. D. , Monachesi Antonela , Stringfellow Guy S. , Massana Pol , Cioni Maria-Rosa L. , Gallart Carme , Monelli Matteo , Martinez-Delgado David , Muñoz Ricardo R. , Majewski Steven R. , Vivas A. Katherina , Walker Alistair R. , Kaleida Catherine , Chu You-Hua
Published: March 2019

We present the detection of very extended stellar populations around the Large Magellanic Cloud (LMC) out to R ∼ 21°, or ∼18.5 kpc at the LMC distance of 50 kpc, as detected in the Survey of the Magellanic Stellar History (SMASH) performed with the Dark Energy Camera on the NOAO Blanco 4 m Telescope. The deep (g ∼ 24) SMASH color–magnitude diagrams (CMDs) clearly reveal old (∼9 Gyr), metal-poor ([Fe/H] ≈ −0.8 dex) main-sequence stars at a distance of ∼50 kpc. The surface brightness of these detections is extremely low with our most distant detection at Σ
g
 ≈ 34 mag arcsec−2. The SMASH radial density profile breaks from the inner LMC exponential decline at ∼13°–15° and a second component at larger radii has a shallower slope with power-law index α = −2.2 that contributes ∼0.4% of the LMC’s total stellar mass. In addition, the SMASH densities exhibit large scatter around our best-fit model of ∼70% indicating that the envelope of stellar material in the LMC periphery is highly disturbed. We also use data from the NOAO Source catalog to map the LMC main-sequence populations at intermediate radii and detect a steep dropoff in density on the eastern side of the LMC (at R ≈ 8°) as well as an extended structure to the far northeast. These combined results confirm the existence of a very extended, low-density envelope of stellar material with a disturbed shape around the LMC. The exact origin of this structure remains unclear, but the leading options include an accreted halo or tidally stripped outer disk material.
An improved form of the ant lion optimization algorithm for image clustering problems
Authors: TOZ METİN
Published: March 2019

Thispaperproposesanimprovedformoftheantlionoptimizationalgorithm(IALO)tosolveimageclustering problem. The improvement of the algorithm was made using a new boundary decreasing procedure. Moreover, a recently proposed objective function for image clustering in the literature was also improved to obtain well-separated clusters while minimizing the intracluster distances. In order to accurately demonstrate the performances of the proposed methods, firstly, twenty-three benchmark functions were solved with IALO and the results were compared with the ALO and a chaos-based ALO algorithm from the literature. Secondly, four benchmark images were clustered by IALO and the obtained results were compared with the results of particle swarm optimization, artificial bee colony, genetic, and K- means algorithms. Lastly, IALO, ALO, and the chaos-based ALO algorithm were compared in terms of image clustering by using the proposed objective function for three benchmark images. The comparison was made for the objective function values, the separateness and compactness properties of the clusters and also for two clustering indexes Davies– Bouldin and Xie–Beni. The results showed that the proposed boundary decreasing procedure increased the performance of the IALO algorithm, and also the IALO algorithm with the proposed objective function obtained very competitive results in terms of image clustering.
Efficient virtual data center request embedding based on row-epitaxial and batched greedy algorithms
Authors: BALAKRISHNAN SIVARANJANI , DORAISWAMY SURENDRAN
Published: March 2019

Data centers are becoming the main backbone of and centralized repository for all cloud-accessible services in on-demand cloud computing environments. In particular, virtual data centers (VDCs) facilitate the virtualization of all data center resources such as computing, memory, storage, and networking equipment as a single unit. It is necessary to use the data center efficiently to improve its profitability. The essential factor that significantly influences efficiency is the average number of VDC requests serviced by the infrastructure provider, and the optimal allocation of requests improves the acceptance rate. In existing VDC request embedding algorithms, data center performance factors such as resource utilization rate and energy consumption are not taken into consideration. This motivated us to design a strategy for improving the resource utilization rate without increasing the energy consumption. We propose novel VDC embedding methods based on row-epitaxial and batched greedy algorithms inspired by bioinformatics. These algorithms embed new requests into the VDC while reembedding previously allocated requests. Reembedding is done to consolidate the available resources in the VDC resource pool. The experimental testbed results show that our algorithms boost the data center objectives of high resource utilization (by improving the request acceptance rate), low energy consumption, and short VDC request scheduling delay, leading to an appreciable return on investment.
A hybrid model for the prediction of aluminum foil output thickness in cold rolling process
Authors: ÖZTÜRK ALİ , ŞEHERLİ RİFAT
Published: March 2019

This study proposes a hybrid model composed of multiple prediction algorithms and an autoregressive moving average (ARMA) module for the thickness prediction. In order to attain higher accuracy, the prediction algorithms were globally combined by simple voting to reduce the effect of the inductive bias imposed by each algorithm on the dataset. The global multiexpert combination (GMEC) system included the multilayer perceptron neural network (MLPNN), radial basis function network (RBFN), multiple linear regression (MLR), and support vector machines (SVM) algorithms. The proposed hybrid model extends the GMEC system by integrating an ARMA module for the output. On the test dataset, the mean absolute error (MEA) and root mean squared error (RMSE) were better for the hybrid model than the GMEC system. The GMEC system had approximately twice better performance than the MLPNN, which was the best among the learners. The performance was significantly improved via the hybrid model in terms of correlation coefficient (R). The results suggested that the proposed hybrid model can be used for more accurate and precise prediction of aluminum foil output thickness.
Cost-effective telemetry for energy network of an electricity distribution company: part I
Authors: UD DIN ASIM ZAHEER , AYAZ YASAR , AHMAD MIAN ILYAS AHMAD , MASAUD SALMAN , HASAN MOMENA , MUHAMMAD NAVEED
Published: March 2019

We present a novel application of radio frequency wireless mesh network and general packet radio service technologies in a telemetry solution to measure power flow in the energy network of an electricity distribution company. The telemetry solution utilizes some selected circuits of grid stations and calculates total power consumed, total power imported, and total power exported by the distribution company. The selection of circuits for sensors installation is the key for reducing solution cost as compared to the case when sensors are installed on all the power output points. The framework involves installation of specially developed energy sensors (smart energy meters) and data concentrator units at the selected grid stations for measurement of energy data that include active energy, reactive energy, active power, apparent power, current, voltage, and power factor. The measured data reach the data concentrator unit using a 433-MHz wireless mesh network and are transmitted to a remote power control center using general packet radio service. Energy data from different grid stations across the energy network are collected at the power control center and utilized in calculation of total power consumed, total power imported, and total power exported. The approach has been tested on two electricity distribution companies of Pakistan: the Islamabad Electric Supply Company and Peshawar Electric Supply Company. Also in this work, the result of overload detection based on a generalized likelihood ratio test for an industrial feeder of the Islamabad Electric Supply Company is included. Detection probability of 0.96 with a false alarm probability of 0.04 has been achieved for a 30-min data interval.
Refugees’ social media activities in Turkey: a computational analysis and demonstration method
Authors: BÜLBÜL MUHAMMED ABDULLAH , ISMAIL SALAH HAJ
Published: March 2019

This study performs a data analysis on refugees in Turkey based on their social media activities. In order to achieve this, we first propose a method to find their relevant public accounts and collect their activities generating a dataset. Then, we perform spatial and temporal analysis over this dataset to shed light on the most important topics and events discussed in social networks. We present the results graphically for ease of understanding and comparison. Our results indicate that we can reveal the most shared topics over a specific time and place as well as the change of pattern in refugees’ activities through their reflection on social media. Moreover, this dataset facilitates a number of further and deeper analyses of the refugees in Turkey.
Characterization of a high-speed radio-frequency sampling and demultiplexing circuit based on the cascade connection of pin photodiodes
Authors: ANGULO CARLOS VILLA , HERNANDEZ-FUENTES IVAN OLAF , MORALES-CARBAJAL RICARDO , VILLA-ANGULO RAFAEL , VILLA-ANGULO JOSE RAMON
Published: March 2019

Herein, we apply theoretical models to characterize the transfer function and frequency response of a complex optoelectronic circuit that comprises a primary ultrafast sampling circuit followed by a cascade connection of N demultiplexing stages. The successive radio-frequency optoelectronic samplers were based on the cascade connection of positive-intrinsic-negative-photodiodes (PIN-PDs). We developed a procedure to calculate the principal design parameters that allows us to use optical power for each sampling and demultiplexing stage, such that the circuit can be designed based on the application requirements. The results obtained from the theoretical models were compared with the measurements obtained from the 2.5 GS/s sampling circuit connected in cascade with a 1.25 GS/s and a 625 MS/s demultiplexing circuit implemented using commercial PIN-PDs
The biobjective multiarmed bandit: learning approximate lexicographic optimal allocations
Authors: TEKİN CEM
Published: March 2019

We consider a biobjective sequential decision-making problem where an allocation (arm) is called ε lexi- cographic optimal if its expected reward in the first objective is at most ε smaller than the highest expected reward, and its expected reward in the second objective is at least the expected reward of a lexicographic optimal arm. The goal of the learner is to select arms that are ε lexicographic optimal as much as possible without knowing the arm reward distributions beforehand. For this problem, we first show that the learner’s goal is equivalent to minimizing the ε lexicographic regret, and then, propose a learning algorithm whose ε lexicographic gap-dependent regret is bounded and gap-independent regret is sublinear in the number of rounds with high probability. Then, we apply the proposed model and algorithm for dynamic rate and channel selection in a cognitive radio network with imperfect channel sensing. Our results show that the proposed algorithm is able to learn the approximate lexicographic optimal rate–channel pair that simultaneously minimizes the primary user interference and maximizes the secondary user throughput.