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All Journal Elkawnie Jurnal Penelitian Pendidikan IPA (JPPIPA) Cyberspace: Jurnal Pendidikan Teknologi Informasi Journal of Data Analysis Jurnal Kreativitas PKM Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal ABDINUS : Jurnal Pengabdian Nusantara Brilliance: Research of Artificial Intelligence Jurnal Transformasi Administrasi Jurnal Teknologi Terapan and Sains 4.0 Smart Techno (Smart Technology, Informatic and Technopreneurship) Statistika Buletin Pengabdian J-SIGN (Journal Of Informatics, Information System, And Artificial Intelligence) Infolitika Journal of Data Science PESARE: Science and Engineering Service Journal Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics PERFECT: Journal of Smart Algorithms

Zulfan Zulfan

Informatika, Universitas Syiah Kuala, Banda Aceh, Indonesia

Author-ID : 3037487

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Aplikasi Reservasi Maintenance Kendaraan Berbasis SMS Gateway Zulfan, Zulfan; Munawir, Munawir
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 3, No 1 (2019): JTIK
Publisher : KITA Institut

Private or public vehicles as a means of transportation are now increasingly being used. This develops along with a large number of residents in their daily activities. With so many vehicles the need for vehicle maintenance centers is also growing. At present, the vehicle maintenance center is not proportional to the number of vehicles. This problem is seen by many vehicle users who are waiting to take care of their vehicles and some of them have to make reservations. Reservations made are still conventional in nature that is still making reservations at the vehicle maintenance center. Therefore, the purpose of this paper is to explain the making of the SMS Gateway vehicle reservation application. The method used is the Software Development Life Cycle (SDLC) using PHP, MySQL, and Gammu programming. This research produces an application that can make customers make vehicle maintenance reservations remotely using SMS media. And customers can receive information about vehicles that have been completed through maintenance via SMS sent via the application server.Keywords:Reservation, Vehicle, Information System, SMS gateway

Google Loon Sebagai Solusi Terkini Koneksivitas Internet Di Daerah Pedalaman Dan Terpencil Zulfan Zulfan; Muhammad Chaidir; Lulu Huril In
Elkawnie: Journal of Islamic Science and Technology Vol 2, No 2 (2016)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ekw.v2i2.2687

Result of this study shows that two of three of its users around the world, internet is not reachable technology especially in hinterland and remote area.Usage of satellite and optic fiber for internet system in those areas is not affordable. By using Google Loon technology,internet users in the areas can access internet.Google Loon is able to spread accessibility of internet up to 1250 kmÂ²(wide) or 40 km diameter), and speed of accessibility reaches 3G(10Mbps)

ANALISA PROSES MIGRASI MYSQL NON-CLUSTER KE CLUSTER DALAM MENANGANI FAIL-OVER SISTEM AKADEMIK UNIVERSITAS SYIAH KUALA Alim Misbullah; Nazaruddin Nazaruddin; Rasudin Rasudin; Zulfan Zulfan
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 4, No 1 (2020)
Publisher : UIN Ar-Raniry

Jumlah data akademik yang terus meningkat pada institusi perguruan tinggi perlu dikelola dengan efektif sehingga pengaksesan data melalui sistem informasi akademik menjadi lebih mudah dan cepat. Salah satu teknologi Database Management System (DBMS) yang masih sering digunakan pada institusi perguruan tinggi adalah MySQL. Umumnya, aplikasi MySQL yang digunakan untuk memproses query dari pengguna masih bersifat tunggal pada sebuah server sehingga overload akses pada waktu tertentu dapat menyebabkan sistem informasi menjadi tidak stabil bahkan sering mengalami timeout. Penelitian ini bertujuan untuk menganalisa proses migrasi MySQL non-cluster ke MySQL cluster dalam menangani fail-over sistem akademik. Hasil penelitian yang diperoleh yaitu berupa dokumen konfigurasi yang tepat pada MySQL cluster sehingga dapat digunakan secara umum pada berbagai MySQL server. Selain itu, load-balancing juga diuji dalam penelitian ini untuk mendistribusikan request antara MySQL server.

AN INFORMATION SYSTEM SUCCESS MODEL FOR CLOUD COMPUTING IN INFORMATION TECHNOLOGY PROJECT Zulfan Zulfan
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 2, No 1 (2018)
Publisher : UIN Ar-Raniry

Cloud computing is becoming an attractive technology due to its dynamic scalability and effective usage of the resources, it can be utilized under circumstances where the availability of resources is limited. The main aim of this study is to develop an IS successful model for cloud computing in IT project environment. There were 38 respondents participated in this study. Data were collected by surveys and analyzed by SPSS. The findings of the study revealed that the system under study was quite successful on use of cloud computing in IT project assignment and very useful. In addition to all hypotheses in this study were interrelated.

Analisa Quality of Service pada Jaringan Wireless Berbasis Software-Defined Network dengan Protokol Openflow Menggunakan Floodlight Controller Muhd Iqbal; Zulfan Zulfan; Muhammad Arif Ramadhan
Journal of Data Analysis Volume 3, Number 1, June 2020
Publisher : Department of Statistics, Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jda.v3i1.14771

Jaringan komputer merupakan sistem yang terdiri dari dua atau lebih perangkat komputer yang saling terhubung. Semakin banyak perangkat jaringan yang digunakan maka semakin lama waktu yang diperlukan untuk mengkonfigurasikan jaringan. Metode Software-Defined Network (SDN) dapat menjadi solusi untuk mengatasi hal tersebut. SDN dapat mengendalikan dan mengkonfigurasikan perangkat jaringan secara bersamaan dalam jumlah banyak. Untuk dapat menjalankan SDN dibutuhkan controller untuk mengatur jaringan. Pada penelitian ini, controller yang akan digunakan adalah Floodlight Controller dan untuk mengetahui kemampuan jaringan, Quality of Service (QoS) dari SDN akan diuji. Pertama, jaringan pada perangkat lunak Mininet akan dirancang terlebih dahulu. Selanjutnya dilakukan pengujian QoS dengan dan tanpa menggunakan metode Hierarchical Token Bucket (HTB). Kemudian, hasil dari pengujian akan dibandingkan dan dinilai menggunakan standar TIPHON. Dari hasil pengujian, dengan menggunakan metode HTB, jaringan yang dihasilkan lebih bagus dibandingkan tanpa metode HTB. Computer network is a system consisting of two or more interconnected computer devices. The more network devices used, the longer it takes to configure the network. The Software-Defined Network (SDN) method can be a solution to overcome this. SDN can control and configure network devices simultaneously in large numbers. SDN can be run physically and virtually on Mininet software. To be able to run SDN, a controller is needed to run the network. In this study, the controller that will be used is the Floodlight Controller and to find out the network capabilities, Quality of Service (QoS) from the SDN will be tested. First, the network on the Mininet software was designed first. Then QoS testing is done with and without using the Hierarchical Token Bucket (HTB) method. Then, the results of the tests will be compared and assessed using the TIPHON standard. From the test results, using the HTB method, the resulting network is better than without the HTB method.

Penerapan Time Delay Neural Network pada Model Akustik untuk Sistem Voice-to-Text Berbahasa Sunda Alim Misbullah; Nazaruddin Nazaruddin; Marzuki Marzuki; Zulfan Zulfan
Journal of Data Analysis Volume 2, Number 2, December 2019
Publisher : Department of Statistics, Syiah Kuala University

Penerapan metode deep learning dalam berbagai bidang terutama pada kasus pengenalan pola sudah menghasilkan akurasi yang sangat menjanjikan. Jaringan saraf tiruan atau neural network merupakan bagian dari deep learning yang digunakan untuk melatih model pada kasus pengenalan pola seperti model untuk sistem pengenalan ucapan (voice-to-text). Neural network akan menyimpan informasi dari setiap fitur data berupa bobot pada jaringan yang terhubung antar layer pada model yang dibangun. Bobot pada jaringan tersebut diperbaharui berdasarkan banyaknya fitur dari data yang diinput. Sistem voice-to-text merupakan salah satu bidang pengenalan pola yang mengimplementasikan neural network untuk membangun model akustik. Model akustik pada sistem pengenalan ucapan dilatih menggunakan data audio berupa percakapan atau rekaman dari setiap individu untuk bahasa tertentu seperti bahasa Inggris. Penerapan neural network untuk sistem pengenalan ucapan berbahasa Inggris sudah banyak dilakukan bahkan sudah diimplementasikan dalam bentuk aplikasi karena mampu menghasilkan akurasi yang tinggi. Namun, penggunaan neural network untuk bahasa lokal masih jarang digunakan. Dalam tulisan ini, time delay neural network digunakan untuk membangun model akustik pada sistem pengenalan ucapan berbahasa Sunda. Berdasarkan hasil pengujian terhadap model akustik, time delay neural network mampu menghasilkan WER sampai dengan 0.57% setelah dilakukan penyesuaian pada hyperparameter dari neural network.Implementation of deep learning techniques has given promising results recently in any research area, especially for pattern recognition. Neural network as a part of deep learning has been widely used to build model for various pattern recognition field including speech recognition. In neural network, weights which is parameters among layers play important roles to capture information from input data. The parameters are updated frequently based on input features in each iteration. In speech recognition, neural network is implemented to build acoustic model that uses speech from different speakers as training data. The acoustic model is built for specific language such as English, Mandarin and Indonesian. In recent years, the speech recognition system using deep neural network for English language has been developed well and use in many applications. But, implementation of deep neural network for local language is rarely done. In this research, time delay neural network is used to build acoustic model for speech recognition system of Sundanese language. Based on experimental result, the implementation of time delay neural network can reduce WER to be 0.57% with well-tuned hyperparameters of neural network.

Optimalisasi Pemanfaatan Alokasi Dana Desa Melalui Program Pemberdayaan Masyarakat Dewi Maya Sari; Zulfan Zulfan
Jurnal Transformasi Administrasi Vol 9 No 1 (2019)
Publisher : Puslatbang KHAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.478 KB)

The village funds allocation over the past four years has been employed more for physical development rather than for community empowerment programs. The village fund ultilization for the needs of empowering human resources was still minimum. For this reason, it is necessary to optimize the use of Village Fund Allocation (ADD) for the field of community empowerment. This study used a qualitative method with a descriptive approach. The results of this study indicated that optimizing the use of village fund allocation through community empowerment programs can be realized by the establishment of Village-Owned Enterprises (BUMDes), the establishment of a Village Community Empowerment Cadre (KPMD), and Community Learning Capacity Building (Community Center).

EFEKTIVITAS PENERAPAN UNDANG-UNDANG ITE TERHADAP PELAKU PENYEBARAN HOAKS COVID-19 DI MEDIA SOSIAL Zulfan; Lestari AKA; Dewi Maya Sari
Jurnal Transformasi Administrasi Vol 10 No 02 (2020)
Publisher : Puslatbang KHAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56196/jta.v10i02.164

The spread of hoaxes related to Covid-19 is increasingly happening, along with the increase in cases of the virus in Indonesia. This is confirmed by data from the Ministry of Communication and Informatics which found around 1,197 hoax issues related to Covid-19 spread across 4 digital platforms. Various efforts have been made by the Indonesian government to reduce the spread of hoaxes in society. One of them is by trapping the perpetrators of hoax spreading using the ITE Law. This study aims to determine the Effectiveness of the Implementation of the ITE Law on the Perpetrators of the Spread of the Covid-19 Hoax on Social Media. The method used in this research is library research method, which is a research method that utilizes library sources in obtaining research data. The type of data used is secondary data. The results of this study conclude that the Law of the Republic of Indonesia Number 19 of 2016 concerning Electronic Information and Transactions has not been effective in ensnaring the criminal act of spreading fake news or hoaxes related to Covid-19 through digital platforms in Indonesia. This law also does not fully accommodate cases related to false or hoax information.

PENERAPAN METODE CERTAINTY FACTOR PADA SISTEM PAKAR DIAGNOSA GANGGUAN MENTAL PADA ANAK BERBASIS WEB Kikye Martiwi Sukiakhy; Zulfan Zulfan; Odli Aulia
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 6, No 2 (2022)
Publisher : UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v6i2.14195

CCM (Care for Children’s Mental) adalah sistem pakar diagnosa dengan metode certainty factor yang dapat dilakukan di berbagai tempat dan memilih beberapa gejala yang terjadi pada anak agar sistem dapat mendiagnosa gangguan mental anak yang di alami. Diharapkan dengan adanya sistem pakar ini bisa membantu para orang tua dalam mendiagnosa secara dini gangguan mental yang anak mereka alami secara mandiri dengan bantuan seorang ahli dengan berdasarkan gejala-gejala yang dirasakan agar para orang tua peka terhadap anak dan tidak menganggap remeh hal tersebut. Manfaat lain dari sistem pakar ini adalah mempermudah dalam akses dimana saja, dan memudahkan orang tua untuk mendiagnosa gangguan anak dengan mudah. Certainty Factor merupakan suatu metode yang dapat mendefinisikan ukuran terhadap aturan atau fakta pakar untuk menggambarkan keyakinan seorang terhadap suatu masalah yang dihadapi. Guna mempermudah dan membantu para orang tua dalam mendiagnosa gangguan mental pada anak, maka metode certainty factor mungkin dapat dijadikan salah satu solusinya. Penerapan metode Certainty Factor pada Sistem pakar diagnosa gangguan mental pada anak dengan metode certainy factor berbasis web ini dibangun dengan menggunakan database MySQL dan framework CodeIgniter (CI) serta bahasa pemrograman PHP.

Pengaruh Pandemi Covid-19 terhadap Prestasi Mahasiswa Fakultas MIPA Universitas Syiah Kuala Zulfan; Radhiah; Tarmizi Usman; Rahma Zuhra; Nazaruddin; Marzuki
Statistika Vol. 23 No. 2 (2023): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v23i2.1714

ABSTRAK Wabah Corona Viruses Diseases 19 (Covid-19) merupakan permasalahan yang dihadapi oleh pemerintah Indonesia, bahkan global sejak akhir Tahun 2019. Wabah ini telah menulari berbagai aspek kehidupan, termasuk pendidikan. Pendidikan di Indonesia mengalami perubahan yang signifikan. Sejak diumumkannya kasus pertama pada bulan Maret 2020, sekolah di Indonesia mulai ditutup dan berganti sistem dari luring (offline) menjadi daring (online). Perubahan yang cepat ini tentunya menjadi kejutan sendiri di dunia pendidikan seperti Perguruan tinggi (PT) termasuk Universitas Syiah Kuala. Berbagai kegiatan akademik mulai dialihkan menjadi sistem daring, bahkan administrasi akademik diubah menjadi sistem daring. Hal ini menjadi suatu shock-wave bagi mahasiswa maupun dosen yang menjadi civitas akademika. Suatu hal yang menarik untuk diteliti bagaimana dampak yang terjadi pada mahasiswa sebelum dan sesudah terjadi pandemi Covid-19. Penelitian terdahulu mengenai dampak perkuliahan daring saat pandemi Covid-19 bagi mahasiswa di Indonesia melalui sistematik review menunjukkan bahwa pembelajaran daring masih membingungkan mahasiswa; mahasiswa menjadi pasif, kurang kreatif dan produktif, penumpukan informasi/konsep pada mahasiswa kurang bermanfaat, mahasiswa mengalami stress, serta peningkatan kemampuan literasi bahasa mahasiswa. Dampak pandemi Covid-19 bagi mahasiswa ini terjadi pada sisi nilai, keuangan, jam belajar, dan tingkat stres. Dampak ini dianalisis menggunakan perbandingan dengan menggunakan metode uji-t 2-sampel antara data dengan dan tanpa menggunakan skor propensitas. Hasil perbandingan ini terlihat bahwa terjadi penurunan dari sisi nilai selama pandemi Covid-19. Perubahan dan dampak bagi mahasiswa sebelum dan sesudah pandemi Covid-19 juga terjadi pada sisi keuangan, dan tingkat stres yang dialami mahasiswa. ABSTRACT The Corona Virus Diseases 19 (Covid-19) outbreak is a problem faced by the Indonesian government, even globally, since the end of 2019. This outbreak has infected various aspects of life, including education. Education in Indonesia is experiencing significant changes. Since the first case was announced in March 2020, schools in Indonesia began to close and the system changed from offline to online. This rapid change is certainly a surprise in the world of education such as universities (PT) including Syiah Kuala University. Various academic activities have begun to be transferred to an online system, even academic administration has been changed to an online system. This became a shock-wave for students and lecturers who are part of the academic community. It is an interesting thing to examine the impact on students before and after the Covid-19 pandemic. Previous research regarding the impact of online lectures during the Covid-19 pandemic for students in Indonesia through a systematic review shows that online learning is still confusing for students; students become passive, less creative and productive, the accumulation of information/concepts in students is less useful, students experience stress, and students' language literacy skills increase. The impact of the Covid-19 pandemic on students is in terms of grades, finances, study hours and stress levels. This impact was analyzed using a comparison using the 2-sample t-test method between data with and without using the propensity score. The results of this comparison show that there has been a decline in value during the Covid-19 pandemic. Changes and impacts on students before and after the Covid-19 pandemic also occurred on the financial side and the level of stress experienced by students.

Co-Authors . Melinda Abelia, Dinda Dwi Abidah Ardelia Akbar, Mufid Akbar, Said Jumadil Alim Misbullah Alim Misbullah Arie Budiansyah Aritonang, Romulo P. Asma Liza, Lia Bagestra, Ricky Candra, Rudi Arif Dewi Maya Sari Dewi Maya Sari Dewi Maya Sari Essy Harnelly Farsiah, Laina Fikrul Akhyar Ghufran S., Mufti Miadi Hanifiah, Jessy Husaini Husaini Ilham, Dirja Nur Irvanizam, Irvanizam Junidar Junidar Juwita Juwita Kikye Martiwi Sukiakhy Lestari AKA Lindawati Lindawati Lulu Huril In Marzuki Marzuki Marzuki Marzuki Marzuki Misbullah, Alim Muhammad Arif Ramadhan Muhammad Chaidir Muhammad Farhan Muhammad Iqbal Muhammad Irfan Muhammad Khoiruddin Harahap Muhammad Saifullah Nur Muhammad Subianto Muhd Iqbal Munawir Munawir Muslim Muslim Muzailin, Muzailin N. Nazaruddin Nabilah, Sausan Nahyadi, TWK. Muhammad Akbar Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazhifah, Sri Azizah Nizamuddin Nizamuddin Odli Aulia Radhiah, Radhiah Rahma Zuhra Rahma Zuhra Rasudin Rasudin Rasudin Rasudin Rasudin, Rasudin Razief Perucha Fauzie Afidh Rizki, Pobi Salsabila, Raina Saputra, Devi Satria Saputra, Kurnia Simatupang, Haryulina Siti Rusdiana Souvik Das Sukiakhy Sukiakhy Tarmizi Usman Ula, Akramul Usman, Tarmizi Wira Dharma Yunardi, Dalila Husna Yuwaldi Away Zahnur Zoel Fachri Zul Akhyar

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