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All Journal ComEngApp : Computer Engineering and Applications Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi International Journal of Advances in Intelligent Informatics Science and Technology Indonesia JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Infomedia Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Serambi Engineering Jurnal Teknologi dan Informasi Jurnal Vokasi JURSIMA (Jurnal Sistem Informasi dan Manajemen) Indonesian Journal of Electrical Engineering and Computer Science jeti Jurnal Teknologi JURSIMA Journal Of Artificial Intelligence And Software Engineering Jurnal Sistem Informasi dan Manajemen eProceeding of TIK

Arhami, Muhammad

Politeknik Negeri Lhokseumawe

Author-ID : 2558016

Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Aceh's Historic Tourist Attractions: An Augmented Reality-Based Prototype of a Virtual Tour Application Anwar Anwar; Cut Adnin Nalisa; Hendrawati Hendrawati; Safriadi Safriadi; Muhammad Arhami
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6460

Indonesia has attractive tourist destinations for tourism such as beautiful interior areas and historical places. The purpose of this research is to design and build a virtual tour application for Aceh tourism objects using augmented reality. One of the problems that occur in tourist objects is that foreign tourists do not have an idea about the tourist objects they want to visit. The technology used in this study and previous research is Augmented Reality, but previous research only displays 3D tourist objects, while in this study, augmented reality technology is incorporated into the design of the 4 Aceh tourist attractions by showing a 3-dimensional illustration of the object as a whole. for the outside of the building and displays a virtual tour image in the form of a video to illustrate the inside of the tourist attraction building on the Android mobile platform. Based on the results of distance and angle testing, the best (ideal) distance that produces clear and bright marker detection is found at a distance between 25 to 45 cm, while the best angle is between an angle with a slope of 0° to 60°. Measurements of distances and angles are carried out using threads, bows and measuring tapes. The 3D object is successfully displayed by pointing the camera at the marker to be detected.

PELATIHAN PENGGUNAAN MACROMEDIA FLASH UNTUK PEMBUATAN ANIMASI PEMBELAJARAN BAGI GURU SMK NEGERI 5 LHOKSEUMAWE Muhammad Nasir; Muhammad Arhami; Hari Toha Hidayat; Mursyidah .
Jurnal Vokasi Vol 2, No 2 (2018): Jurnal Vokasi
Publisher : Politeknik Negeri Lhokseumawe

Proses dalam kegiatan belajar – mengajar bukanlah suatu pekerjaan yang mudah. Seorang guru di Sekolah akan memberikan materi pembelajarannya dengan sebaik mungkin dan sedetail mungkin dengan harapan siswa yang diajarnya bisa mengerti dari materi yang disampaikan. Siswa terkadang sering mengalami kesulitan dalam memahami materi yang disampaikan oleh gurunya. Hal ini terjadi, karena tidak semua siswa memiliki kemampuan yang sama dalam menyerap materi yang diberikan oleh gurunya. Sistem pembelajaran diharapkan sesuai dengan PP No. 19 tentang SNP tahun 2005 yakni proses pembelajaran pada satuan pendidikan diselenggarakan secara interaktif, inspiratif, menyenangkan, menantang, memotivasi, siswa untuk berpartisipasi aktif, serta memberikan ruang yang cukup bagi prakarsa, kreativitas, dan kemandirian sesuai dengan bakat, minat, dan perkembangan fisik serta psikologis siswa. Berdasarkan hasil penilaian pre test kepada peserta diketahui bahwa para peserta sudah memiliki pengetahuan dasar tentang desain animasi. Pengetahuan diperoleh dari media internet. Dengan nilai tertinggi 67 dan nilai terendah 50. Adapun setelah kegiatan pelatihan peserta kembali diberikan tes. Tujuan pemberian tes ini adalah untuk mengetahui adanya peningkatan kemampuan peserta dalam bidang desain animasi. Dan hasil berdasarkan nilai post test terendah 78 dan tertinggi 100.Kata kunci: pembelajaran, interaktif, inspiratif, motivasi

PCA-Based on Feature Extraction and Compressed Sensing for Dimensionality Reduction Anita Desiani; Sri Indra Maiyanti; Kanda Januar Miraswan; Muhammad Arhami
Computer Engineering and Applications Journal Vol 8 No 2 (2019)
Publisher : Universitas Sriwijaya

Compressive sensing reduces the number of samples required to achieve acceptable reconstruction for medical diagnostics, therefore this research will implement dimensional reduction algorithms through compressed sensing for electrocardiogram signals (EKG). dimensional reduction is performed based on the fact that ECG signals can be reconstructed with linear combination coefficients with a bumpy base of small measurements with high accuracy. This study will use PCA for feature extraction on ECG signals. The data used are the ECG patient records on the website page www.physionet.org as many as 1200 with each attribute as many as 256 attributes. The total data dimension used is 1200x256, which means the data has 1200 rows and has as many as 256 columns. To show the accuracy of the dimensional reduction result, so it is performed classification on data using KNN and Naive Bayes. The classification results show that KKN can classify well with 84,02% accuracy rate and the Naive Bayes accuracy is 65,78%. for 100 dimensions The conclusion is those dimensional reductions for ECG data that have large dimensions, it still able to provide valid information like it uses the original data. Principle Component Analysis is a good method for reducing data dimensions by selecting certain features, so the dimensions of the data become smaller but still able to provide good accuracy to the reader.

Penggunaan Metode TOPSIS sebagai Pendukung Keputusan Bantuan Modal Usaha bagi Masyarakat Pedesaan di Kabupaten Pidie Muhammad Arhami
Jurnal Infomedia:Teknik Informatika, Multimedia & Jaringan Vol 5, No 2 (2020): Jurnal Infomedia
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jim.v5i2.1966

Dinas Sosial Kabupaten Pidie memiliki beberapa program, salah satunya program pemberdayaan sosial yaitu memberikan bantuan modal usaha berupa barang bagi masyarakat miskin yang memiliki usaha kecil. Dinas Sosial Kabupaten Pidie memerlukan suatu sistem pendukung keputusan (SPPK) yang dapat memperhitungkan segala kriteria yang dimiliki oleh pemohon untuk mempermudah proses pengambilan keputusan. Metode yang digunakan untuk Sistem Pendukung Keputusan dalam pemberian modal usaha adalah dengan menggunakan metode TOPSIS. Salah satu alasan metode ini dipilih karena mampu memilih alternatif terbaik dari sejumlah alternatif. Alternatif yang dimaksud adalah nama pemohon terbaik berdasarkan kriteria-kriteria yang dari ditentukan. Kriteria yang dimaksud adalah status, tanggungan, jenis usaha, kepemilikan usaha. Hasil proses pengimplementasian metode TOPSIS dapat mengurutkan nama pemohon berdasarkan nilai preferensi yang terbesar ke nilai preferensi terkecil, sehingga dari 30 data yang diuji, 17 orang berhak menerima bantuan dikarenakan nilai preferensi yang dimiliki diatas 0,5.

Sistem Pendukung Keputusan Penerimaan Bantuan Renovasi Rumah Dhuafa Menggunakan Metode Multi Attribute Utility Theory Derry Fajirwan; Muhammad Arhami; Ismi Amalia
Jurnal Infomedia:Teknik Informatika, Multimedia & Jaringan Vol 3, No 2 (2018): Jurnal Infomedia
Publisher : Politeknik Negeri Lhokseumawe

Abstrak— Baitul Mal merupakan lembaga yang mengelola zakat, wakaf, dan harta agama sebagai potensi ekonomi umat Islam. Salah satu program Baitul Mal Aceh Barat Daya adalah pemberian bantuan renovasi rumah dhuafa. Dalam menentukan pemberian bantuan tersebut pihak Baitul Mal Abdya menyeleksi dari data yang masuk. Pada tahap penyeleksian ada beberapa kriteria dalam memutuskan seseorang berhak menerima atau tidak. Akan tetapi pada pelaksanaan masih menggunakan cara yang lama yaitu dengan faktor kedekatan petugas. Pada tahun 2017 setelah pergantian ketua Baitul Mal Abdya cara lama tersebut diganti dengan cara turun kelapangan untuk mengecek status kelayakan penerimaan bantuan. Untuk mendukung keputusan tersebut penulis akan membuat suatu sistem pendukung keputusan untuk menentukan kepada siapa saja yang berhak menerima bantuan rumah dhuafa berdasarkan data yang masuk. Metode yang digunakan adalah Multi Attribute Utility Theory (MAUT). Pengolahan nilai metode MAUT yaitu akan menghasilkan hasil akhir dengan perangkingan. Jadi dari perangkingan tersebut akan dipilih berdasarkan jumlah nilai tertinggi dengan batas nilai ≥ 0.58. Nilai batas 0.58 didapatkan berdasarkan hasil diskusi dengan ketua Baitul Mal Aceh Barat Daya. Dari hasil perbandingan perangkingan antara data hasil seleksi manual sebanyak 75 dengan data hasil seleksi sistem, didapatkan 60 data hasil seleksi sistem sesuai dengan hasil seleksi manual, sementara 15 data tidak sesuai dengan hasil seleksi manual. Tingkat akurasi yang didapatkan dari hasil implementasi Metode Multi Attribute Utility Theory (MAUT) mencapai 80%.Kata kunci — Sistem Pendukung Keputusan, Baitul Mal, Zakat, MAUT. Abstract— Baitul Mal is an institution that manages charity, endowments and religious property as an economic potential of Muslims. One of the Baitul Mal Aceh Barat Daya programs is the provision of renovation assistance for dhuafa homes. In determining the provision of assistance, Baitul Mal Abdya selected from incoming data. At the selection stage there are several criteria in deciding whether or not someone has the right to accept. However, the implementation still uses the old method, namely the proximity factor of the officer. In 2017 after the change of chairman of Baitul Mal Abdya the old method was replaced by the way to go down to check the status of eligibility for receiving assistance. To support this decision the author will make a decision support system to determine who has the right to receive assistance from poor households based on the data entered. The method used is Multi Attribute Utility Theory (MAUT). Processing the value of the MAUT method is that it will produce the final result by ranking. So the ranking will be chosen based on the highest number of values with a limit of ≥ 0.58. The limit value of 0.58 was obtained based on the results of discussions with the head of the Baitul Mal Aceh Barat Daya. From the results of the comparison of the ranking between the manual selection data as much as 75 with the data of the system selection results, obtained 60 data from the system selection results in accordance with the results of manual selection, while 15 data were not in accordance with the results of manual selection. The level of accuracy obtained from the implementation of the Multi Attribute Utility Theory (MAUT) method reaches 80%.Keywords — Decision Support System, Baitul Mal, Zakat, MAUT

Sistem Antrian Pasien pada Praktek Dokter menggunakan Algoritma FCFS Dan Notifikasi SMS Berbasis Web Hendrawaty, Muhammad Arhami, Muhammad Iqbal
Jurnal Elektro dan Informatika Vol 2 No 1 (2021): Maret 2021
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v2i1.269

Queue is an important thing to discuss as part of testing one's patience, so it can be said that the queue has become a part of everyday life for everyone. From these problems, with a queuing system that implements FCFS and WEB-based methods. To make it easier for patients to queue, the FCFS algorithm is relatively easy to use because it is the simplest and more efficient scheduling algorithm when used for queuing at the doctor's practice so that the first patient to queue is to be served. Notification feature in the form of SMS provided by the system so that patients get a notification when the patient's queue number is near and the schedule update if there is a patient has already taken a card and cannot be present.

Penggunaan Metode Analytic Network Process (ANP) Untuk Pendukung Keputusan Pemberian Bonus Karyawan Nadia Ulfa; Muhammad Arhami; Muhammad Rizka
Jurnal Teknologi Vol 21, No 1 (2021): April 2021
Publisher : Politeknik Negeri Lhokseumawe

The decision support system is a system that can provide problem-solving abilities and communication skills for problems with semi-structured and unstructured conditions, such as determining which employees deserve a bonus. The decision-making process is a frequent occurrence and is at the core of activities at PT Perta Arun Gas, one of which is to determine bonuses for employees by calculating the average value of criteria for each employee, not counting the values of related criteria. The system designed is a decision-making system to determine employees who get bonuses using the Analytic Network Process (ANP) method, this ANP method can calculate the related criteria values. ANP is a method that accommodates the relationship between criteria and alternatives. The criteria used are, professional at work, politeness (behavior), presence, loyalty (a sense of ownership of employees towards the company), responsibility, cleanliness tidiness, and discipline. The test results indicate that this system can solve the problem of determining the distribution of bonuses to employees so that it can help in selecting employees who receive the bonus.

PENGUKURAN APTITUDE DENGAN UJI KRAEPELIN MENGGUNAKAN METODE LINEAR CONGRUENTIAL METHOD (LCM) Qatrun Nada; Muhammad Arhami; Zulfan Khairil Simbolon
Jurnal Teknologi Vol 22, No 1 (2022): April 2022
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v22i1.2418

Psychological tests are an important need in various spaces of human life. Not only related to matters of a clinical nature, psychological tests are also used in the workspace. Psychological tests are carried out as an effort to find out by knowing more about a person's personality. One of the methods used by psychologists is Kraepelin to get personality types. In practice, psychological tests in understanding an object, namely humans with all their attitudes and behavior, still use the old way. Psychological tests still use sheets or series of questions given to related objects and the calculation of results or assessments is still done manually. Errors in the assessment will affect the results so that it will lead to inappropriate perceptions. Making questions requires time and high accuracy, so the system is built using the Linear Congruential Method (LCM). LCM method is used to generate random numbers with better access time performance in terms of complexity and optimality. The 20 minute test application consists of 40 columns and 60 rows of questions with a time limit of 30 seconds for each column. The website-based Kraepelin test application can support all related parties, both the test organizers and test takers, to get real-time and accurate test results by applying the Kraepelin test using the LCM method. The implementation of the Kraepelin test is in accordance with the purpose of using the test, namely as a tool to measure aptitude (speed, accuracy, stability and work endurance). Based on the test results, the calculation of the score using the system will be faster with a calculation time of 2 seconds while the manual calculation is 5 minutes.

Perbaikan Algoritma Naive Bayes Classifier Menggunakan Teknik Laplacian Correction Muhammad Rizki; Muhammad Arhami; Huzeni Huzeni
Jurnal Teknologi Vol 21, No 1 (2021): April 2021
Publisher : Politeknik Negeri Lhokseumawe

Naïve Bayes Classifier is one of the classification algorithms in Data Mining with a good processing speed and a fairly high level of accuracy. In the classification process the Naïve Bayes Classifier adopts the Bayesian theorem to map a data against a class by taking into account the probability of the attribute data, but because the Naïve Bayes Classifier makes probability the basis for its calculations, it is certainly very risk if it is wrong. If one class that is contained in the attribute has a value of 0, this will reduce the level of accuracy of the classification process carried out by the Naïve Bayes Classifier algorithm itself, therefore in this study the Laplacian Correction technique is used as an alternative to fix the problems that are owned by the Naïve Bayes Classifier Algorithm. The result of this research is that the Laplace Correction technique has succeeded in improving the performance of the Naïve Bayes Classifier by fixing the 0 value for each attribute. The level of accuracy that is owned by the Naïve Bayes Classifier after experiencing improvements with the Laplacian correction technique is 94.44%.

COMBINATION OF KNN AND PARTICLE SWARM OPTIMIZATION (PSO) ON AIR QUALITY PREDICTION Sugandi Yahdin; Anita Desiani; Shania Putri Andhini; Dian Cahyawati; Rifkie Primartha; Muhammad Arhami; Ditia Fitri Arinda
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

The increase in the use of energy sources causes air pollution. The Air Pollutant Index (API) is information about the air quality of a place and at a certain time. API has several parameters, namely SO2, PM10, NO2, O3, and CO. In this study, the KNN method was used to assist categorize air quality. However, all training data were used during the classification process with KNN causes a long prediction process. Another problem with KNN is difficult to determine the optimal value of the K parameter in KNN. The Particle Swarm Optimization (PSO) method can be used for problems on KNN. Therefore, the aim of this study is to predict air quality based on the API by combining the KNN-PSO method. The dataset used is the API dataset for the DKI Jakarta area 2017-2019 totaling 1075 data. The results showed the accuracy for the KNN-PSO method was 98.42% with a precision value of 97.75% and a recall value of 98.13%. To further analyze the results on the combined method, the results of this study were compared with the KNN method only. The results obtained from the KNN method are lower than the KNN-PSO method. So it can be concluded that the KNN-PSO method is great and robust in air quality classification or prediction.

Co-Authors Adhimullah Adhimullah Ajeng Islamia Putri Alda Amalia Mortara Amalia, Ismi Amirullah Amirullah Anak Agung Istri Sri Wiadnyani Anita Desiani Annisa Nur Fauza Anwar Anwar Azhar Kholiq Affandi Cut Adnin Nalisa Derry Fajirwan Des Alwine Zayanti Dian Cahyawati Dinda Meilisa Ditia Fitri Arinda Dwi Meilvinasvita Endang Sri Kresnawati Endro Setyo Cahyono Fadhil Purnahar Fitria Zahara Guntur Syahputra Hari Toha Hidayat Hendrawati Hendrawati Hendrawaty Hendrawaty Husaini Husaini Husaini Husaini Huzaeni Huzaeni Huzaeni Huzaeni Huzeni Huzeni Indra Mawardi Indrawati Indrawati Indrawati Indrawati Intan Fitri Irmeilyana Irmeilyana Irvan Andrian Jamalul Insan Kanda Januar Miraswan Khairunnisa Atami Mahdi Mahdi Masyitha Masyitha Melati Dian Sukma Mitta Permatasari Muhammad Davi Muhammad Iqbal Muhammad Irmansyah Muhammad Muhammad Muhammad Nawawi Muhammad Nawawi Muhammad Raiyan Muhammad Rizka Muhammad Rizka Muhammad Rizki Mursyidah . Nabila Mufida Nadia Ulfa Naufal Rachmatullah Naziruddin Naziruddin Ning Eliyati Novi Rustiana Dewi Qatrun Nada Renol Herwinsyah Rifkie Primartha Rifkie Primartha Riya Sri Agustin Rizaldo Setiawan Safitri, Nelly Safriadi Safriadi Salahuddin Salahuddin Salahuddin Salahuddin Salnadila Salnadila Shania Putri Andhini Shania Putri Andhini Simbolon, Zulfan Khairil Sri Indra Maiyanti Suci Indah Sari Sugandi Yahdin Sugandi Yahdin Sugandi Yahdin Titania Jeanni Charissa Yuli Andirani Yuli Andriani Yulia Resti Zamzami Zamzami

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