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<![CDATA[Sistem Pakar Mendiagnosa Penyakit Mata Katarak Dengan Metode Certainty Factor Berbasis Web ]]>
<![CDATA[Girsang, Rame R]]>;
<![CDATA[Fahmi, Hasanul]]>
<![CDATA[ MATICS Vol 11, No 1 (2019): MATICS ]]>
Publisher : <![CDATA[Department of Informatics Engineering ]]>
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DOI: 10.18860/mat.v11i1.7673
<![CDATA[Katarak merupakan penyebab utama gangguan penglihatan dan kebutaan di Indonesia. Saat ini kebutaan di Indonesia yang disebabkan mata katarak mencapai 30% pada umumnya berusia 50 tahun, sehingga hal ini menjadi hal yang layak untuk di teliti. Dengan kemajuan teknologi yang semakin canggih dan kurangnya tenaga ahli dibidang mata sehingga dibutuhkan sebuah sistem pakar yang mampu menyamai dengan ahli pakar dengan harapan dapat membantu masyarakat agar lebih awal mengetahui tentang penyakit mata katarak sebelum menderita penyakit mata katarak. Adapun metode yang digunakan untuk mendiagnosa penyakit katarak yaitu dengan menggunakan metode Certainty Factor dimana metode CF menunjukan nilai kepastian dari suatu fakta yang belum pasti dan memperoleh tingkat persentase dengan nilai 95% sehingga dengan adanya metode Certainty Factor dapat digunakan untuk mengetahui masing- masing pada setiap gejala.]]>
<![CDATA[SPK PENENTUAN PEMBERIAN PINJAMAN KEPADA ANGGOTA BUMDES DENGAN METODE SIMPLE ADDITIVE WEIGHTING ]]>
<![CDATA[Nurul Putri Utami]]>;
<![CDATA[Hasanul Fahmi]]>;
<![CDATA[Anita Sindar]]>
<![CDATA[ SINTECH (Science and Information Technology) Journal Vol 2 No 2 (2019): SINTECH Journal Edition October 2019 ]]>
Publisher : <![CDATA[LPPM STMIK STIKOM Indonesia ]]>
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DOI: 10.31598/sintechjournal.v2i2.317
<![CDATA[Information technology as a tool in the quality of manpower one of the world of government in the village, especially in the field of village-owned enterprises which are still doing work with the manual system. In addition, where it really needs a decision support system to help human resources in utilizing technology to run a process quickly and efficiently. The approach to find the value of attribute weights, namely approaching the existence of subjective, objective approaches and approaches of integration between subjective and objective. Decision Support System Implementation with Simple Additive Weighting Method can be used to determine the granting of loans to members of BUMDes Maju Bersama by entering in the form of alternative data and then entering the weight value seen in the existing criteria, so that it can produce the calculation value and the ranking of the prospective loan recipient. This draft will show the final results of each member who will borrow funds, and the highest rating can be said of the members who will receive loan assistance, the lowest rating will be given the opportunity to make decisions later to receive loan assistance.]]>
<![CDATA[SISTEM PAKAR MENDIAGNOSA PENYAKIT CANINE DISTEMPER PADA ANJING MENGGUNAKAN METODE CERTAINTY FACTOR ]]>
<![CDATA[Sitohang, Rirido Apriyanto]]>;
<![CDATA[Fahmi, Hasanul]]>
<![CDATA[ Majalah Ilmiah Kaputama Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019 ]]>
Publisher : <![CDATA[STMIK Kaputama ]]>
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<![CDATA[Expert System in determining the type of disease in animals is very promising, but what needs to be watched is when the disease that attacks the animal is a malignant disease that even leads to death caused by viruses, weather changes, and how to care for these animals. The benefits of diagnosing diseases in animals are expected for animal lovers to be able to overcome animal diseases without having to go to PeetShop. Then we need an expert system in determining the disease using the certainty factor method because it is accurate, fast, and precise in diagnosing the disease in accordance with the symptoms of the disease.]]>
<![CDATA[Penerapan Data Mining Clustering Pada Siswa-Siswi SMK Swasta Jaya Krama Beringin Dalam Menerima Potongan Biaya Administrasi Sekolah Dengan Menggunakan Algoritma K-Means ]]>
<![CDATA[Wika Wahyuni]]>;
<![CDATA[Fahmi, Hasanul]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 2 (2020): Jurnal Ilmu Komputer dan Sistem Informasi ]]>
Publisher : <![CDATA[Sisfokomtek ]]>
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<![CDATA[Bantuan potongan biaya administrai sekolah saat ini sangatdibutuhkan oleh keluarga yang kurang mampu karena banyaknyakeluarga yang mengalami ekonomi yang sangat rendah di daerah sekitarkhususnya pada siswa-siswi SMK Swasta Jaya Krama Beringinsehingga, menyebabkan Pihak Sekolah memberikan sebuah bantuanPotongan biaya administrasi sekolah akan tetapi dengan banyaknyajumlah siswa-siswi sekitar 585 orang, sehingga staff keuangan harusmengelompokkan data siapa saja yang berhak mendapatkan potonganbiaya administrasi sekolah, penerapan algoritma K-Means Clusteringsangat dibutuhkan dalam menunjang s ebuah potongan biayaadministrasi sekolah di SMK Swasta Jaya Krama Beringin makadibutuhkan sebuah data mining clustering, dengan adanya penerapanMetode K-Means Clustering tersebut agar dapat memudahkan StaffAdministrasi dalam proses pendataan data siswa-siswi penerimapotongan biaya administrasi sekolah, Sehingga dapat mempermudahKepala Sekolah dalam menentukan siswa-siswi yang berhakmendapatkan potongan biaya administrasi sekolah.]]>
<![CDATA[PENINGKATAN KEMAMPUAN PENGGUNAAN GOOGLE CLASSROOM SEBAGAI MEDIA PEMBELAJARAN DARING ]]>
<![CDATA[Siahaan, R. Fanry]]>;
<![CDATA[Simanjorang, R. Mahdalena]]>;
<![CDATA[Simangunsong, Agustina]]>;
<![CDATA[Fahmi, Hasanul]]>
<![CDATA[ JMM (Jurnal Masyarakat Mandiri) Vol 5, No 4 (2021): Agustus ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Mataram ]]>
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DOI: 10.31764/jmm.v5i4.5056
<![CDATA[Abstrak: Hingga saat ini virus Corona masih mengkhawatirkan sementara obatnya belum ditemukan. Covid-19 mulai menjadi perhatian masyarakat dunia setelah Januari 2020. Berbagai aspek dan bidang kehidupan manusia mengalami dampak yang sangat besar akibat dari penyebaran dari virus ini, Indonesia salah satu negara yang mengalami dampak tersebut. Salah satu sektor vital yang ditutup karena dianggap rentan untuk penyabaran dari Covid-19 ini adalah sektor pendidikan. Perusahaan raksasa Google memberikan fasiltias pembelajaran bagi siswa yaitu Google classroom. Tujuan pengabdian kepada mayarakat ini adalah untuk meningkatkan kemampuan dan pemahaman siswa SMP KEMALA BHAYANGKARI 1 MEDAN dalam menggunakan Google classroom sebagai media pembelelajaran daring. Metode pelaksanaan dalam kegiatan ini yaitu Students Participatory Appraisal (SPA): 1) Perencanaan 2) Pelaksanaan dan 3) Evaluasi. Dari 73 orang siswa kelas 7 SMP Kemala Bhayankari I Medan yang memahami penggunaan GC sebelum pelatihan sebanyak 6 orang siswa atau setara dengan 8,21%. Setelah dilaksanakan pelatihan jumlah siswa yang memahami penggunaan GC meningkat menjadi 59 orang siswa atau setara dengan 80,82%. Kegiatan ini sebagai perwujudan dari salah satu tridharma perguruan tinggi yaitu pengabdian kepada masyarakat. Abstract: Until now coronavirus is still worrying while the cure has not been found. Covid-19 began to become the attention of the world community after January 2020. Various aspects and areas of human life are experiencing a huge impact as a result of the spread of this virus, Indonesia is one of the countries that experienced the impact. One of the vital sectors that are closed because it is considered vulnerable to the spread of Covid-19 is the education sector. Giant company Google provides students with a learning facility called Google classroom. The purpose of this community service is to improve the ability and understanding of students of SMP Kemala Bhayangkari 1 Medan in using Google classroom as a medium of online learning. The implementation method in this activity is Students Participatory Appraisal (SPA): 1) Planning 2) Implementation and 3) Evaluation. Of the 73 grade 7 students of SMP Kemala Bhayankari I Medan who understood the use of GC before training as many as 6 students or equivalent to 8.21%. After the training, the number of students who understood GC usage increased to 59 students or equivalent to 80.82%. This activity is the embodiment of one of the tridharma of higher education, namely community service.  ]]>
<![CDATA[Penerapan Data Mining Clustering Pada Siswa-Siswi SMK Swasta Jaya Krama Beringin Dalam Menerima Potongan Biaya Administrasi Sekolah Dengan Menggunakan Algoritma K-Means ]]>
<![CDATA[Wika Wahyuni]]>;
<![CDATA[Hasanul Fahmi]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 2 (2020): Jurnal Ilmu Komputer dan Sistem Informasi ]]>
Publisher : <![CDATA[Sisfokomtek ]]>
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DOI: 10.9767/jikomsi.v3i2.49
<![CDATA[Bantuan potongan biaya administrai sekolah saat ini sangatdibutuhkan oleh keluarga yang kurang mampu karena banyaknyakeluarga yang mengalami ekonomi yang sangat rendah di daerah sekitarkhususnya pada siswa-siswi SMK Swasta Jaya Krama Beringinsehingga, menyebabkan Pihak Sekolah memberikan sebuah bantuanPotongan biaya administrasi sekolah akan tetapi dengan banyaknyajumlah siswa-siswi sekitar 585 orang, sehingga staff keuangan harusmengelompokkan data siapa saja yang berhak mendapatkan potonganbiaya administrasi sekolah, penerapan algoritma K-Means Clusteringsangat dibutuhkan dalam menunjang s ebuah potongan biayaadministrasi sekolah di SMK Swasta Jaya Krama Beringin makadibutuhkan sebuah data mining clustering, dengan adanya penerapanMetode K-Means Clustering tersebut agar dapat memudahkan StaffAdministrasi dalam proses pendataan data siswa-siswi penerimapotongan biaya administrasi sekolah, Sehingga dapat mempermudahKepala Sekolah dalam menentukan siswa-siswi yang berhakmendapatkan potongan biaya administrasi sekolah.]]>
<![CDATA[Implementasi Kriptografi Untuk Keamanan File Text Dengan Menggunakan Metode MD5 ]]>
<![CDATA[Ahmad Zaki Fadilla Rangkuti]]>;
<![CDATA[Hasanul Fahmi]]>
<![CDATA[ Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 2 (2020): OKTOBER 2020 ]]>
Publisher : <![CDATA[Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah ]]>
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DOI: 10.32672/jnkti.v3i2.2384
<![CDATA[Technological developments, especially in data security systems in maintaining data information security, have developed rapidly. In maintaining the security of information data, there are branches of science in its development such as cryptography. Cryptography is both the science and the art of maintaining the security of messages obtained by encoding messages to become meaningless. There are two processes in cryptography, namely encryption and decryption. To be able to secure the text file, an encryption process is carried out by changing an original text message that can be understood (plaintext) into a message that has no meaning (ciphertext) which aims to prevent the message from being known by others. Decryption is the process of returning or changing incomprehensible text code (ciphertext) into original text that can be understood (plaintext). To secure the file, the MD5 method algorithm is implemented. With that, a cryptosystem application program that is used to secure text files is created so that only certain people can process the files..]]>
<![CDATA[The Application of ANN Predicts Students' Understanding of Subjects During Online Learning Using the Backpropagation Algorithm at SMAN 1 Perbaungan ]]>
<![CDATA[rendiarno rendiarno]]>;
<![CDATA[Hasanul Fahmi]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.53842/jaiea.v1i2.87
<![CDATA[This study is a study to predict the level of students' understanding of the subjects given by educators at SMAN 1 Perbaungan. This study aims to determine how far the level of understanding of students in understanding lessons, especially during the current covid-19 pandemic, which is a process of teaching and learning activities carried out from their respective homes or using online learning media. The method used is an artificial neural network with Backpropagation algorithm with variables used are knowledge values, skill scores, mid-semester exam results, end-semester exam results, and attitude scores. The five variables are used to support predicting the level of student understanding of the subject using the single layer Backpropagation Algorithm. The architectural model used is 5-2-1 with a success accuracy of 85%. The smaller the error value that is close to 0, the smaller the deviation of the results of the Artificial Neural Network with the desired target.]]>
<![CDATA[EXPERT SYSTEM FOR HYPOTHYROIDISM DIAGNOSIS USING CASE BASED REASONING METHOD (CASE STUDY OF MELATI II Public Health Center) ]]>
<![CDATA[dewinda rimanti]]>;
<![CDATA[Hasanul Fahmi]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.53842/jaiea.v1i2.88
<![CDATA[In this study, we will discuss the development of an expert system application for diagnosing Hypothyroidism. In diagnosing Hypothyroidism, this expert system will use the Case-Based Reasoning (CBR) method. CBR uses artificial intelligence in solving problems based on knowledge from previously stored cases. Case data was obtained from medical records from the results of handling Hypothyroidism patients diagnosed by internal medicine specialists. There are 5 types of hypothyroidism disease with one symptom of the disease in the old case. And there are new cases that will be used to calculate the similarity value to the old cases that exist in the knowledge base owned by the system.]]>
<![CDATA[DECISION SUPPORT SYSTEM FOR DETERMINING THE BEST TEACHER USING TOPSIS METHOD (CASE STUDY : SMP NEGERI 1 GALANG) ]]>
<![CDATA[iinvera niar]]>;
<![CDATA[Hasanul Fahmi]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.53842/jaiea.v1i2.89
<![CDATA[SMP Negeri 1 Galang has activity in determining the best teacher, however, at SMP Negeri 1 Galang the determination of the best teacher still uses the manual method, namely by calculating on paper with a predetermined format. In this case, of course, it takes a long time, considering that there are many junior high school teachers, and also requires many criteria. This is what makes researchers want to conduct research in order to design a decision support system for determining the best teacher using the TOPSIS method at the 1st Galang Junior High School. The Technique for Order Preference by Similarity to Ideal Solution (Topsis) method is one method that is often used in determining a decision, therefore researchers use this method in making a system. With the existence of a decision support system, it can help the school in determining the best teacher, so that the determination of the best teacher can be done accurately and quickly]]>
