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All Journal Jurnal Simetris Register: Jurnal Ilmiah Teknologi Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JTT (Jurnal Teknologi Terpadu) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Indonesian Journal of Artificial Intelligence and Data Mining JRST (Jurnal Riset Sains dan Teknologi) Jambura Journal of Informatics JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA Journal La Sociale Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance Jurnal Teknologi Informasi Cyberku Jurnal Ilmu Komputer Jurnal Sains dan Teknologi

Mohamad Ilyas Abas

Universitas Muhammadiyah Gorontalo

Author-ID : 4348624

Aerospace Engineering Arts Automotive Engineering 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

Published : 33 Documents Claim Missing Document

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Articles

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Prediction of Arrival of Archipelago Tourists and Abroad Based on Regions Using Neural Network Algorithm Based on Genetic Algorithm Abas, Mohamad Ilyas; Lasarudin, Alter
Indonesian Journal of Artificial Intelligence and Data Mining Vol 1, No 2 (2018): September 2018
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v1i2.5640

Tourists are an integral part of the world of tourism. Generally tourists visit to see the diversity of an area. In Gorontalo, several tourist attractions have been visited by domestic and foreign tourists. This is certainly a large amount so that it can help improve economic growth in Gorontalo from the tourism sector. Therefore the need for knowledge of the number of tourists for the coming year. So that, it can provide an analysis of the consideration of the decision to the government to be able to prepare steps in building the economy of the tourism sector. The number of tourists can be made a prediction using the method in data mining namely the Neural Network. Neural Network is a good method for predicting non-linear datasets such as number of tourists. with the Neural Network method it can be done. Not only that, Genetic Algorithm will be used to optimize the parameters of the Neural Network so that it can increase the accuracy value that can be measured with the Root Mean Square Error (RMSE) value. The results of this study indicate that the value of RMSE for domestic tourist data as follows: Gorontalo City: 0.116, Gorontalo Regency: 0.220, Boalemo: 0.073, Pohuwato: 0.142, Bone Bolango: 0.078, North Gorontalo: 0.093. For foreign tourists, Gorontalo City: 0.117, Gorontalo Regency: 0.178, Boalemo: 0.075, Pohuwato: 0.099, Bone Bolango: 0.124, North Gorontalo: 0.155.

SISTEM INFORMASI KULIAH KERJA DAKWAH UNIVERSITAS MUHAMMADIYAH GORONTALO Abas, Mohamad Ilyas; Ibrahim, Irawan; Panigoro, Muslim
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 8, No 2 (2017): JURNAL SIMETRIS VOLUME 8 NO 2 TAHUN 2017
Publisher : Universitas Muria Kudus

Kuliah Kerja Dakwah (KKD) merupakan program pengabdian kepada masyarakat melalui Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM). Berbeda dengan kuliah kerja mahasiswa di Universitas non Muhammadiyah, program lebih kolaborasi antara pengabdian sesuai bidang ilmu dan ditambahkan dengan program dakwah yang dilakukan di lokasi tempat pelaksanaan KKD. Pendaftar KKD yaitu mahasiswa yang sudah memenuhi persyaratan tertentu. Pendaftar dilakukan dengan cara konvensional dengan melibatkan dokumen secara manual dan memakan waktu yang lama. Akses menjadi lebih rumit karena tidak tersedianya sistem. Sistem ini dibuat untuk mengatasi permasalahan tersebut. Dengan adanya Sistem Informasi Kuliah Kerja Dakwah (SIKKD) pelayanan menjadi lebih mudah dari segi mahasiswa, Dosen Pembimbing Lapangan (DPL) serta panitia penyelenggara KKD. Kata kunci: Mahasiswa, SIKKD, Pelayanan

SISTEM INFORMASI KULIAH KERJA DAKWAH UNIVERSITAS MUHAMMADIYAH GORONTALO Mohamad Ilyas Abas; Irawan Ibrahim; Muslim Panigoro
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 8, No 2 (2017): JURNAL SIMETRIS VOLUME 8 NO 2 TAHUN 2017
Publisher : Universitas Muria Kudus

Optimasi Support Vector Machine Particle Swarm Optimization Untuk Prediksi Konsumsi Energi Listrik Mohamad Ilyas Abas; Irawan Ibrahim
Jambura Journal of Informatics VOL 1, NO 2: OCTOBER 2019
Publisher : Universitas Negeri Gorontalo

Penelitian ini bertujuan untuk menganalisis konsumsi energi listrik di Gorontalo dan melakukan prediksi terhadap penggunaan energi listrik. Konsumsi dan beban listrik di Gorontalo menjadi pokok bahasan dalam penelitian ini. Metode yang digunakan dalam melakukan prediksi yakni SVM dan Optimasi PSO. Algoritma ini dipilih karena memiliki nilai akurasi yang tinggi dengan tingkat error yang rendah. Hasil dari penelitian ini menunjukkan bahwa SVM-PSO mampu melakukan prediksi dengan data time-series dengan error yang kecil. Selain itu, hasil dari penelitian ini dapat digunakan untuk mempersiapkan pasokan listrik jangka panjang serta dapat mensosialisasikan penggunaan listrik yang baik kepada masyarakat. Energi alternatif juga dapat menjadi solusi bagi pemerintah guna menambah pasokan energi listrik sehingga kebutuhan masyarakat akan listrik dapat terpenuhi. This study aims to analyze the consumption of electrical energy in Gorontalo and make predictions on the use of electrical energy. Electricity consumption and load in Gorontalo is the subject of this research. The method used in making predictions is SVM and PSO Optimization. This algorithm was chosen because it has a high accuracy value with a low error rate. The results of this study indicate that SVM-PSO is able to make predictions with timeseries data with small errors. In addition, the results of this study can be used to prepare long-term electricity supply and can socialize good use of electricity to the public. Alternative energy can also be a solution for the government to increase the supply of electrical energy so that people's needs for electricity can be met.

The Urgency of Disability Accessibility in Gorontalo District Government Agencies Ismet Hadi; Upik Dyah Eka Noviyanti; Irwansyah Reza Mohamad; Mohamad Ilyas Abas
Journal La Sociale Vol. 1 No. 3 (2020): Journal La Sociale
Publisher : Borong Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journal-la-sociale.v1i3.130

Accessibility is the facilities provided for persons with disabilities to realize equality and opportunity and all aspects of life and livelihood as ease of moving through and using buildings and the environment with due regard to fluency and feasibility. The purpose of this study was to determine the Gorontalo District regional government policy in implementing the Act relating to the accessibility of the needs of persons with disabilities. Particularly on the accessibility of persons with disabilities to government agencies in Gorontalo District based on Law No. 8 of 2016 concerning Persons with Disabilities and universal design principles implemented in Ministerial Regulation No. 14 of 2017 concerning Building Easiness Requirements. This research uses a normative a juridical type of research with a juridical empirical approach. The results showed that (1). Implementation of Law No. 8 of 2016 concerning Persons with Disabilities in Gorontalo Regency has not been implemented optimally (2). Obstacles found in government agencies in the Gorontalo District environment include government buildings not yet accessible for persons with disabilities. This means that the facilities provided do not meet the universal design principles of ease, usefulness, safety, and independence. The absence of regulations in the form of Regional Regulations and Regents as a legal umbrella related to the standard facilities and services that must be provided for persons with disabilities, and the lack of local budgets for the development and construction of facilities related to the accessibility of persons with disabilities.

PREDIKSI RENTET WAKTU JUMLAH PENUMPANG BANDARA MENGGUNAKAN ALGORITMA NEURAL NETWORK BERBASIS GENETIC ALGORITHM Mohamad Ilyas Abas; Abdul Syukur; Moch Arief Soeleman
Jurnal Teknologi Informasi - Cyberku (JTIC) Vol 13 No 2 (2017): Jurnal Teknologi Informasi CyberKU Vol. 13, no 2
Publisher : Program Pascasarjana Magister Teknik Informatika, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (826.212 KB)

Prediksi terhadap jumlah penumpang dilakukan guna memberikan informasi kepada manajamen bandar udara Djalaluddin Gorontalo. Informasi yang diberikan dapat dijadikan sebagai bahan pertimbangan dalam melakukan pengelolaan dari segi infrastrukur sarana dan prasarana dari pihak bandara. Hasil prediksi terhadap jumlah penumpang tahun mendatang akan memberikan informasi kepada pihak bandara agar dapat meningkatkan pelayanan yang lebih maksimal terhadap penumpang. Untuk itu, perlu adanya prediksi terhadap pertumbuhan jumlah penumpang salah satunya yaitu dengan penerapan salah satu algoritma dalam data mining. Penerapan algoritma Neural Network menjadi salah satu algoritma yang dapat digunakan untuk melakukan prediksi. Serta penerapan Neural Network Backpropagation sebagai proses pelatihan untuk data time series. Penambahan Algoritma Genetika untuk melakukan optimasi dapat memperkecil nilai Root Mean Squared Error (RMSE). RMSE terkecil akan menambah keakuratan dalam melakukan prediksi. Nilai RMSE yang didapat pada penelitian ini yaitu 0.092. Dengan parameter Neural Network Hidden Layer: 10, Training Cycles, 22, Learning Rate: 0.10982546098949762 dan Momentum: 0.1 serta parameter optimasi Max Generations: 50, Population Size: 50, Mutation Type: Gaussian_mutation, Selection Type: Roulette Wheel, dan Crossover Probability: 0.9. Kombinasi NN+GA ini terbukti menghasilkan RMSE terkecil untuk sehingga dapat digunakan untuk melakukan prediksi terhadap jumlah penumpang bandara di Gorontalo.

PERANCANGAN SISTEM INFORMASI GEOGRAFIS STATISTIK KEPOLISIAN (SIGAP) KABUPATEN GORONTALO Mohamad Ilyas Abas; Rizal Lamusu
Jurnal Ilmu Komputer (JUIK) Vol 1, No 2 (2021): October 2021
Publisher : Universitas Muhammadiyah Gorontalo

At this time the need for fast, precise and accurate data must be done easily using adequate information technology. The purpose of this research is to make an innovation about the police, both for police administration, crime data, accident-prone and other police data, both in the form of structured data and statistical forms. This system also provides convenience in visualization using a Geographic Information System (GIS) map that displays geographic information on crime data and accident-prone areas so as to provide data information to the police and the public in particular. The system development method used is research and development. This method is very good in developing the system systematically from start to finish at the maintenance stage. The results of this study, in addition to providing a geographic visual display, also provide convenience in terms of information and police statistics in Gorontalo Regency.

SISTEM INVENTARISASI ASET UNIVERSITAS MUHAMMADIYAH GORONTALO BERBASIS WEB Muhamad Masri; Mohamad Ilyas Abas; Wahyudin Hasyim; Irawan Ibrahim
Jurnal Ilmu Komputer (JUIK) Vol 2, No 2 (2022): October 2022
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/juik.v2i2.1712

Penelitian ini bertujuan untuk merancang sebuah sistem informasi inventaris aset berbasis web agar dapat memberikan solusi terhadap masalah-masalah yang dihadapi oleh pihak pegawai perlengkapan Universitas Muhammadiyah Gorontalo. Sistem ini akan membantu melakukan penataan aset yang dimiliki secara rapi, tepat serta efisien, baik dari segi waktu, tenanga maupun biaya. Dimana sistem yang akan dirancang mempunyai fasilitas untuk mengelompokkan aset, memasukkan jumlah aset, keterangan maupun kondisi dari aset. Metode yang digunakan dalam penelitian ini yakni prototype karena yang memudahkan proses perancangan mulai dari Communication, Quick Plan, Modeling Quick Design, Construction of Prototype, sampai dengan Deployment Delivery & Feedback. Hasil dari peneltian ini dapat mempermudah kinerja bagian perlengkapan dalam pendataan aset secara digital dan lebih rapi sesuai tujuan yang diharapkan.

PENERAPAN MODEL UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) TERHADAP PENGGUNAAN SISTEM INFORMASI AKADEMIK UNIVERSITAS MUHAMMADIYAH GORONTALO Silvana Yusuf; Mohamad Ilyas Abas; Syahrial Syahrial; Rizal Lamusu
Jurnal Ilmu Komputer (JUIK) Vol 2, No 2 (2022): October 2022
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/juik.v2i2.1714

enelitian ini bertujuan untuk menerapkan model UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) pada Sistem Informasi Akademik (SIA) Universitas Muhammadiyah Gorontalo. Model UTAUT dipilih karena dapat menggambarkan representatif dari keterterimaan sistem dari perilaku pengguna terkait teknologi baru maupun lama. Empat konstruk yang di uji yakni Ekpektasi Kinerja (Performance Expectancy), Ekpektasi Usaha (Effort Expectancy), Pengaruh Sosial (Social Influence), Kondisi Fasilitas (Facility Condition) untuk mengetahui pengaruh Minat Perilaku (Behavioral Intention) dan Perilaku Menggunakan (Use Behavior). Responden yang berhasil dikumpulkan sebanyak 235 yang berasal dari semua program studi baik dosen dan mahasiswa. Data dikumpulkan melalui sebaran kuisioner kemudian diolah menggunakan salah satu aplikasi pengolahan statistik yakni Lisrel. Hasil yang didapatkan dari pengolahan tersebut dari ke empat variabel tersebut berpengaruh positif terhadap Minat Perilaku dan Perilaku Menggunakan sebesar lebih dari 90%. Manfaat dari penelitian dapat memberikan informasi keterterimaan SIA UMGO dikalangan pengguna untuk mengetahui seberapa penting peran SIA UMG dan juga pengembangan sistem kedepan.

STUDI ANALISIS FATWA TARJIH MUHAMMADIYAH TENTANG ROKOK DAN DAMPAKNYA TERHADAP COVID-19 Mohamad Ilyas Abas; Salahudin Pakaya; Syahrial Syahrial
Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance Vol. 2 No. 3 (2022): Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance
Publisher : Gapenas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/bureau.v2i3.113

In essence, according to the fatwa and Islamic views that cigarettes are included in the haram category. Some views say that smoking is makruh and even permissible. But the strongest opinion is that smoking is forbidden in Islam, especially in the fatwa tarjih Muhammadiyah which strictly forbids smoking because smoking is an act that can harm oneself and others. In this study, the researcher wanted to analyze the study on the compliance of tarjih prohibition of smoking in Muhammadiyah environment to student organizations in Muhammadiyah. This research uses quantitative methods, the quantitative method was chosen because it is an approach whose specifications are systematic, planned and clearly structured from the beginning to the making of the research design. The purpose of this study was to obtain an analysis study of the compliance of Muhammadiyah members with Muhammadiyah tarjih on cigarettes. The results of the study will display statistics on the compliance of Muhammadiyah members as well as statistics on Muhammadiyah members who still smoke so that it is contrary to the tarjih and smoking laws in Islam, which are haram. The benefit of this study is that it can display data in clusters of smokers who are in the Muhammadiyah environment. The results of the study indicate that in fact, according to knowledge, everyone agrees that cigarettes are haram and adherence to tarjih is indeed quite high, but it is not accompanied by obedience to leave the smoking habit.

Co-Authors Abdul Syukur Alter Lasarudin Antupetu, Rastin Asminar Asminar Chandra, Muhammad Ali Daulima, Mohamad Rizki Deny Wiria Nugraha Fauziah Fauziah Gani, Hilmansyah Handayani, Tri Pratiwi Hasto Finanto Hasyim, Wahyudin Hidayat, Rahmat Rian Ibrahim, Irawan Ibrahim, Irawan Ingrid Nurtanio Irawan Ibrahim Irawan Ibrahim Irawan Ibrahim Irawan Ibrahim Ismet Hadi Isminarti, Isminarti Kango, Riklan Kiayi, Verliana Lamusu, Rizal Lasarudin, Alter Lasarudin, Alter Mahendra, Bachtiar Isra Maku, Rubiyanto Masri, Muhamad Moch Arief Soeleman Moh. Nasrul Arief Setiawan Adam Mohamad, Irwansyah Reza Muhammad Raidinoor Pasha Mulyadi, Yahya Bin Muslim Panigoro Noor Fatmawanti Ahmad Noviyanti, Upik Dyah Eka Nur Azhary Iriawan Eka Putra Nurhikmah Fajar Nursetiawati Nursetiawati Nurwahidah Jamal Panigoro, Muslim Polapa, Risman Pranata, Widya Eka Rahmatia Mohi Rizal Lamusu Rizal Lamusu Rizal Lamusu Salahudin Pakaya Silvana Yusuf Sulistyawati, Ni Kadek Syafruddin Syarif Syahrial Syahrial SYAHRIAL SYAHRIAL Tri Pratiwi Handayani Umar Sako, Umar Wahyudin Hasyim Yulanda Yunus Zulkarnain Suronoto Zulkifli Tahir

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