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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Format : Jurnal Imiah Teknik Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Ilmiah FIFO JURNAL MEDIA INFORMATIKA BUDIDARMA JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Journal of Information Systems and Informatics JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Reswara: Jurnal Pengabdian Kepada Masyarakat Syntax: Journal of Software Engineering, Computer Science and Information Technology Yayasan Cita Cendikiawan Al Khwarizmi Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) KLIK: Kajian Ilmiah Informatika dan Komputer TIERS Information Technology Journal Jurnal IPTEK Bagi Masyarakat Jurnal Pengabdian Masyarakat IPTEK Journal of Information Systems and Technology Research Jurnal Sistem Komputer Triguna Dharma (JURSIK TGD) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Paradigma DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Journal of Computer Science and Research Jurnal INFOTEL Jurnal Pengabdian Masyarakat Nasional Conference Proceedings International Conference on Education Innovation and Social Science International Journal of Informatics and Data Science
Asyahri Hadi Nasyuha
(Scopus ID: 57214154368), Universitas Teknologi Digital Indonesia, Yogyakarta
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Implementasi Algoritma K-Nearest Neighbor Dalam Mendiagnosis Kurap Pada Kucing Marsono Marsono; Asyahri Hadi Nasyuha; Saiful Nur Arif; Muhammad Zunaidi; Nur Yanti Lumban Gaol
Journal of Computer System and Informatics (JoSYC) Vol 4 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i1.2479

Abstract

Ringworm is an infectious disease caused by keratinophilic fungi on the surface of the skin or other parts of tissues that contain keratin (fur, nails, hair, and horns) in animals and humans. Some fungal species are zoonotic because infected animals can be a source of transmission to humans and vice versa. This disease is often found in domesticated animals and is the oldest mycotic disease in the world. This skin disease is called ringworm because it is thought to be caused by worms and because the symptoms begin with inflammation of the skin's surface which if left unchecked will enlarge to form a ring like circle. The K-Nearest Neighbor (KNN) algorithm is a method for classifying new objects. KNN is a supervised learning algorithm, where the results of new query instances are classified according to the majority of categories in KKN. The class that appears the most is the class resulting from the classification. Nearest Neighbor is an approach to calculate the proximity between the new case and the old case, which is based on matching the weights of a number of existing features. This study aims to make it easier for patients to know the health condition of their pet cat.
UPAYA PENINGKATAN PEMBELAJARAN SISWA SDN 173324 LUMBANJULU LINTONG NIHUTA LEWAT PROGRAM KAMPUS MENGAJAR Nur Yanti; Asyahri Hadi Nasyuha; Feri Setiawan; Lusiyanti Lusiyanti; Afdal Al Hafiz
RESWARA: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 1 (2023)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v4i1.2596

Abstract

Kampus Mengajar adalah salah satu kegiatan kampus merdeka yang juga melibatkan adik-adik mahasiswa dari masing-masing jurusan yang berbeda untuk membantu proses peningkatan pembelajaran untuk jenjang SD pada sekolah SDN 173324 Lumbanjulu Lintong Nihuta serta memberi ruang untuk mahasiswa mengeksplor kemampuannya untuk berkontribusi dalam kemajuan pendidikan. Dalam kegiatan ini dosen dan mahasiswa terlibat langsung untuk membantu pihak sekolah dalam melakukan proses peningkatan kualitas pembelajaran serta lewat pendampingan yang dilakukan bersama siswa, juga melakukan adaptasi teknologi dalam mendukung kegiatan pembelajaran dan membantu pihak sekolah dalam kegiatan administrasi sekolah dan tak lupa juga turut serta bertanggung jawab secara moral untuk membantu pembentukan karakter dan meningkatkan motivasi siswa dalam menimba ilmu disekolah. Metode yang digunakan dalam kegiatan ini adalah pemberdayaan secara langsung dalam proses pendampingan mengajar untuk peningkatan kualitas pendidikan sekolah. Hasil dari kegiatan ini membawa perubahan yang cukup baik dalam peningkatan pengetahuan dari proses pembelajaran yang tertinggal akibat proses pandemic yang cukup Panjang yang membuat siswa mengalami ketertinggalan dalam memahami materi pembelajaran, menuntaskan siswa yang tidak bisa membaca, menulis dan berhitung serta mengedukasi guru agar mampu membuat pembelajaran berbasis digital untuk proses pembelajaran di sekolah dan memanfaatkan teknologi yang ada sebagai upaya yang dalam peningkatan minat belajar dan pengoptimalan sumber daya teknologi yang ada. Dengan adanya kegiatan ini dapat mengatasi masalah yang dialami sekolah dan siswa menjadi lebih giat dan bersemangat dalam proses pembelajaran yang dilaksanakan disekolah
Penerapan Kombinasi Metode K-Nearest Neighbor dan Certainty Factor Dalam Mendiagnosa Bos Taurus Disease Putri Febrianty; Asyahri Hadi Nasyuha; Hafizah Hafizah
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 2 No. 1 (2023): EDISI JANUARI 2023
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v2i1.5142

Abstract

Bos Taurus merupakan kelompok sapi yang termasuk ke dalam jenis sapi potong subtropis yang berasal dari Eropa. Penyakit sapi potong (Bos Taurus Disease) ini dapat terjadi karena disebabkan oleh bakteri, virus, jamur dan parasit. Dimana penyakit tersebut dapat membahayakan peternak sapi dan juga konsumen. Penyakit tersebut dapat menular ke manusia dengan berbagai cara salah satunya melalui udara yang masuk ke dalam saluran pernafasan, kontak fisik dengan hewan yang terinfeksi dan mengkonsumsi daging dari sapi potong yang terjangkit penyakit. Penyakit yang terjadi pada sapi potong dapat menyebar dengan cepat dan dapat menyebabkan kematian jika tidak segera ditangani. Hal ini dapat mengakibatkan kerugian untuk para peternak sapi potong. Oleh karena itu untuk mengatasi permasalahan tersebut, maka dibuatlah sebuah sistem pakar dengan menerapkan kombinasi metode K-Nearest Neighbor dan Certainty Factor untuk mendiagnosa penyakit sapi potong (Bos Taurus Disease). Dari hasil perhitungan metode K-Nearest Neighbor  dan Certainty Factor dengan adanya ke enam gejala yang dipilih, maka dapat diperoleh nilai kedekatan (Similarity) yang paling dekat dengan P05 yaitu penyakit Kudis (Scabies) sebesar 0,661 dan nilai akurasi sebesar 0,922 atau jika di persentasikan 92,2 % yaitu pasti. Hasil dari penelitian ini para peternak sapi potong dapat mengenali dan mendiagnosa secara lebih dini jenis penyakit yang terjadi pada sapi potong berdasarkan gejala-gejala yang dialami tanpa harus berkonsultasi dengan dokter hewan khususnya sapi potong.
Analisis Metode WASPAS Dalam Pemilihan Pimpinan Perusahaan Badrul Anwar; M. Giatman; Hasan Maksum; Asyahri Hadi Nasyuha
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5170

Abstract

The head of the company is an important figure in a business. In selecting a leader, criteria are needed that reflect a good leader. Some companies still do not use the system in selecting leaders, and even this is still nepotism, in this case the selected leaders are related to the owner of the company. A decision support system is a system that can assist in making decisions. Decision support systems are very effective in providing decisions on a problem, because this system has alternative problems and criteria according to the problems that occur. The WASPAS method in a decision support system provides the right solution for selecting prospective leaders with appropriate criteria because the WASPAS method is a unique combination of the known MCDM (Multi Criteria Decision Making) approach, namely the WSM (Weighted sum model) and the WPM weighted product model. (Weighted Product Method) initially requires linear normalization of the elements of the decision matrix by using two equations. From the results of Qi calculations using the WASPAS method, of the 6 alternatives calculated in the selection of company leaders, the best results are obtained with the highest score, namely 2.3732.
Anti Cheat of Computer Based Test Application in Enterpreneurship Exams using The Multiplicative Random Number Generator Method Badrul Anwar; Ganefri Ganefri; Asmar Yulastri; Dicky Nofriansyah; Asyahri Hadi Nasyuha
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5437

Abstract

STMIK Triguna Dharma is one of the best private universities in North Sumatra in the field of ICT. To realize an entrepreneurial university, it is necessary to have maximum efforts from all elements of management and the foundation. This reflects the quality of learning and good higher education governance. So far, there have been many test implementation techniques in several schools, such as conventional and CBT concepts. Based on the observed phenomena, the CBT that was implemented had problems including fraud in the implementation. Referring to this problem, STMIK Triguna Dharma innovates by building a web-based anti-cheat CBT application by adopting the Multi Random Number Generator Method. The advantage of this method is that it is able to randomize questions and answers with the available question packages so that this effort can properly reduce cheating, for example on semester exams. The results of this study are a web-based anti-cheat application which adopts the MRNG method which is expected to be a solution and can be used by STMIK Triguna Dharma in conducting semester exams, especially in entrepreneurship courses.
Sistem Informasi Pembayaran Angsuran Debitur pada PT. Pas Jaya Ahmad Fitri Boy; Asyahri Hadi Nasyuha; Jufri Halim; Trinanda Syahputra; Egi Affandi
Jurnal Pengabdian Masyarakat IPTEK Vol. 1 No. 1 (2021): Edisi Juli 2021
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/abdi.v1i1.3353

Abstract

PT. Pas Jaya Medan sebuah perusahaan  yang membutuhkan sebuah sistem informasi berbasis komputer dalam melakukan suatu pekerjaan. Perusahaan ini sudah menggunakan software komputer terutama ms. excel untuk menginput data angsuran debitur, namun penggunaannya belum maksimal dan sistem ini masih banyak kelemahannya yaitu, dalam mencari data angsuran debitur dan laporan  pembayaran angsuran debitur membutuhkan waktu yang lama. Dengan adanya sistem informasi yang tepat dan akurat tersebut sehingga dapat meringankan dan mempermudah karyawan PT. Pas Jaya dalam mengolah segala data yang terkait dalam pembayaran kredit debitur dan menghasilkan sebuah laporan yang lebih detail.
Sistem Pakar Dalam Mendiagnosis Penyakit Leishmaniasis Menerapkan Metode Case-Based Reasoning (CBR) Asyahri Hadi Nasyuha; Yohanni Syahra; Moch Iswan Perangin-Angin; Dedi Rahman Habibie; Aloysius Agus Subagyo
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.6057

Abstract

Leishmaniasis caused by protozoa of the genus Leishmania, is one of the neglected zoonoses. Sand flies (mosquitoes) of the genus Phlebotomus transmit Leishmaniasis. Leishmaniasis has attacked 98 countries and is widespread in tropical, subtropical and Mediterranean regions. Because it primarily affects endemic areas in developing countries, which often have dense populations, malnutrition, poor sanitation, and a lack of human resources for disease control, prevention, and treatment, leishmaniasis is considered a neglected tropical disease. Leishmaniasis is one of the neglected tropical diseases, it is based on the low level of public awareness and scarcity of funds for research to develop effective disease control methods. Leishmaniasis is a difficult condition to treat because the general public is not well aware of it. Based on these problems, an expert system for the diagnosis of leishmaniasis was studied. An expert system is a program that can simulate the thought process of a computer expert and solve problems that are usually handled by experts. Knowledge stored in expert systems is often obtained from human subject matter experts. By using the help of expert systems and calculations carried out using the Case-Based Reasoning (CBR) approach, this study aims to facilitate the diagnosis of Leishmaniasis based on the patient's perceived input. Approach (CBR) can facilitate diagnosis then produce more precise diagnostic results. The test results with the Case-Based Reasoning approach found that the type of disease Cutaneous Leishmaniasis had the highest similarity value with a similarity value of 73%.
Implementation of multiple linear regression to estimate profit on sales of screen printing equipment Khairul Khairul; Asyahri Hadi Nasyuha; Ali Ikhwan; Moustafa H. Aly; Ahyanuardi Ahyanuardi
JURNAL INFOTEL Vol 15 No 2 (2023): May 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i2.934

Abstract

Traditional marketing strategies are no longer practical to implement because the process requires more costs and time to disseminate information which is much longer. Data Mining is a science that discusses knowledge from previous data to estimate the amount of production in the future. Data mining is a term used to find hidden knowledge in databases. “Data mining is a semi-automatic process using statistical, mathematical, artificial intelligence, and machine learning techniques to extract and identify valuable and helpful information in large databases. It is necessary to solve the problem by using one of the five methods in the field of Data Mining, namely the Multiple Linear Regression method, where this method will analyze the variables that have an influence and can make estimates. Multiple Linear Regression Is a method that can be used to analyze data and obtain meaningful conclusions about a relationship between one variable and another. This relationship is generally expressed by a mathematical equation expressing the relationship between the independent and dependent variables in the form of a simple equation
Analisis Perbandingan Teorema Bayes dan Case Based Reasoning Dalam Diagnosis Penyakit Myasthenia Gravis Bagas Triaji; Azanuddin Azanuddin; Ibnu Rusydi; Ita Mariami; Asyahri Hadi Nasyuha
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6436

Abstract

The medical industry faces several obstacles due to illness. Treatment of any condition, including myasthenia gravis, relies heavily on an accurate and precise diagnosis. Myasthenia gravis is an autoimmune disease that affects the neuromuscular junction and is characterized by sudden muscle weakness and fatigue due to the loss of acetylcholine receptors (AChRs) at the neuromuscular junction. Successful treatment planning and providing a good prognosis to the patient is highly dependent on accurate and rapid diagnosis. To diagnose Myasthenia Gravis, this study compares and contrasts Case Anthology with Bayes' Theorem. The neuromuscular condition called myasthenia gravis is characterized by a variable decrease in muscle strength. Correct and timely diagnosis is essential to start a successful course of therapy. Data from patients with Myasthenia Gravis symptoms and clinical indicators were collected for this study. To obtain an accurate diagnosis, the dataset was analyzed using Bayes' Theorem and Case Anthology techniques. Based on the current symptoms, Bayes' Theorem is used to estimate the probability of the condition, while Anthology of Cases is used to diagnose the patient. Based on symptoms, Bayes' Theorem predicts disease outcome probabilistically, but requires reliable initial assumptions and is susceptible to prior probabilities. On the other hand, Case Anthologies use information obtained from previous situations, but may be limited by the availability of relevant data and may experience difficulties in dealing with unique or unusual situations. This study helps us understand the benefits and limitations of each technique in diagnosing Myasthenia Gravis. A more accurate and effective diagnosis can be made by combining the two methods. These studies can serve as a foundation for creating more sophisticated diagnostic techniques integrated into clinical practice. The following is a summary of the percentages obtained using the Bayes Theorem and Case Anthology methods: For the diagnosis of Myasthenia Gravis, the Bayes Theorem technique produces a percentage value of 55% while the Case Anthology method only produces a percentage value of 26%. Therefore, the Bayes Theorem technique is better and more reliable in diagnosing Myasthenia Gravis.
Penerapan Data Mining Untuk Klasifikasi Penerima Kredit Dengan Perbandingan Algoritma Naïve Bayes dan Algoritma C4.5 Dison Librado; Asyahri Hadi Nasyuha
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6907

Abstract

Credit is the process of borrowing money from customers to be paid over a certain period of time and with a payment agreement. In general, credit is provided by companies operating in the financial sector such as banks, cooperatives, business credit and finance. In the implementation process, providing credit to customers must be appropriate. In reality, the process of granting credit is still given to the wrong people. The problems faced must be resolved immediately and well, if the problems continue and giving credit not to the right customers will be very detrimental to the company. The settlement process can be done by looking at customer data that has previously received credit. Data mining is a technique that can be used to help solve these problems. In the process of resolving credit granting problems, data mining can be used to process previous credit customer data to obtain a pattern of which customers are eligible for credit. Classification is a method used in data mining to solve various kinds of problems. In this research, research will be carried out using the Naïve Bayes algorithm and the C4.5 algorithm. The method comparison process carried out in the research was carried out to obtain more definite results. This is based on the importance of giving credit to the right person so that there are no problems in the process of completing credit bill payments. Completion of data mining by applying the Naïve Bayes and C4.5 algorithms has been successfully carried out and classification can be carried out for decision making, both algorithms have the same decision making result, namely "Accepted". However, there are differences in the level of accuracy obtained. In the Naïve Bayes algorithm the accuracy level is 86.67%, while in the C4.5 algorithm the accuracy level is 100%.
Co-Authors A F Limas Ptr A, Azanuddin Abdul Karim Abdullah, MT, Dr. Rijal Abror, Dzulchan Afdal Al Hafiz Agustina Sidabutar Ahmad Fitri Boy Ahyanuardi Ahyanuardi Al Hafiz, Afdal Alda Fadilla Ali Hamsar Ali Ikhwan Ali Ikhwan Aloysius Agus Subagyo Aly, Moustafa H Amrullah Amrullah Andriyani, Widyastuti Anwar, Badrul Ardianto Pranata Ardianto Pranata Pranata Asmar Yulastri Azanuddin Azanuddin B. Herawan Hayadi Badrul Anwar Bagas Triaji Buyung Solihin Hasugian Candra Setya, Sigit Chung, Meng-Yun Damayanti, Ariesta Deborah Kurniawati Dedi Rahman Habibie Dedi Rahman Habibie Dedy Irfan Devri Suherdi Dicky Nofriansyah Dini Fakta Sari, Dini Fakta Dison Librado Edy Prayitno Edy Prayitno Egi Affandi Elyas, Ananda Hadi Erna Hudianti Pujiarini Faisal Taufik Fauzi Erwis Febriyani, Fina FERI SETIAWAN Ganefri Ganefri Ginting, Erika Fahmi Habibie, Dedi Rahman Hafizah Hafizah Hamsar, Ali Hasan Maksum Hendra Jaya Hendra, Yomei Hendryan Winata Hera Wasiati Hutagalung, Juniar Ibnu Rusydi Irawati, Novica Ita Mariami Iwan Purnama Jalius Jama jufri halim Junaidi Junaidi Khairul Khoiri, Muhammad Hafidz Ady Latifah Hanum Leswanto, Tomi Lucia Nugraheni Harnaningrum Lusiyanti Lusiyanti Lusiyanti Lusiyanti Lusiyanti, Lusiyanti M. Giatman Mardiah Nasution Mariami, Ita Marsono Marsono Marsono Marsono Marsono Marwanta, Y. Yohakim Masyuni Hutasuhut Maulana, Dandi Maulana, Fajar Mesran, Mesran Moch Iswan Perangin-Angin Mochammad Iswan Moustafa H. Aly Moustafa H. Aly Muhammad Syahril Muhammad Zunaidi Mukhlis Ramadhan Muskhir, Mukhlidi Nasution, Hanifah Nur Nizwardi Jalinus Nugraha, Arya Adhi Nur Yanti Nur Yanti Lumban Gaol Nur Yanti, Nur Nurarif, Saiful Pane, Usti Fatimah Sari Sitorus Perangin Angin, Moch Iswan Perangin-angin, Moch. Iswan Perdana, Ivan Jaka Pratiwi, Hani Dita Pulut Suryati, Pulut Purwadi Purwadi Putri Febrianty Ramadhan, Muhammad Sabir Ramadhan, Mukhlis Refdinal, Refdinal Rico Imanta Ginting Rikie Kartadie Rizky, Firahmi Roziyani Setik Saiful Nurarif Saniman Saniman Santoso, Ismawardi Satria Fandani Setiawan, Feri Simatupang, Wakhinuddin Sinta Mega Sinaga Solly Aryza Sri Redjeki Sri Redjeki Suardi Yakub Sudarmanto Sudarmanto, Sudarmanto Trinanda Syahputra Trinanda Syahputra Tugiono Tugiono Tujantri , Harkam Utami, Anik Oktavia Veza, Okta Vina Winda Sari Wahyudi, Udin Dwi Widiarti Rista Maya WINDHA MEGA PRADNYA DHUHITA Yohanni Syahra Yohanni Syahra Yolanda Wiguna Yuni Franciska Tarigan Yustria Handika Siregar Zakarias Situmorang Zulfi Azhar Zulham Sitorus Zulham Zulham Zulkifli Zulkifli Zunaidi, Muhammad