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All Journal CESS (Journal of Computer Engineering, System and Science) Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF APPLIED INFORMATICS AND COMPUTING KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) INFOKUM International Journal of Engineering, Science and Information Technology Djtechno: Jurnal Teknologi Informasi Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Journal of Renewable Energy, Electrical, and Computer Engineering TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Algoritma Jurnal Teknologi Terapan and Sains 4.0 Journal of Advanced Computer Knowledge and Algorithms Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Safwandi Safwandi
Fakultas Teknik Universitas Malikussaleh
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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KLASIFIKASI PENGELOMPOKAN DALAM MELIHAT KESESUAIAN DAYA PELANGGAN KOTA LHOKSEUMAWE Andik Bintoro; Safwandi Safwandi
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.944

Abstract

Classification of K Nearest Neighbors in this study to determine the grouping in seeing the suitability of the installed household electricity customers. Then the system built can see customers who want to know the amount of power given and want to add new. Conversely, if customers who want to reduce the power that has been given because it is too large with the condition of houses that are not large and not much use, can be seen in this system. The purpose of this study is to facilitate old customer customers in seeing the installed power with a variable amount of air conditioner (AC), number of refrigerators, number of washing machines and other electronic quantities based on the grouping of test data. first adjusted to the new test data. The process of the K-Nearest Neighbor method is to input the customer's name with the value of the amount of air conditioner (AC) with a value of 2, the number of refrigerators with a value of 2, the number of washing machines with a value of 1 and the number of other electronics with a value of 7. Then the data is seen with distance closest is 1.73205 by being trained by seeing neighbors nearby in training training. Furthermore, training of the data was obtained by customers with ID P-05 found in class C2 classifications. The results of this system are in the form of customer grouping which is categorized into 4 ampere, 6 ampere or 12 ampere category classification types, each of which is seen from the amount of power installed. This research is expected to help PLN customers of the city of Lhokseumawe in knowing the old customers who are included in the type of grouping.Keywords: Classification, Electrical Power, K-Nearest Neighbors
Implementation of Geographic Information System for Tourist Locations and Lodging Services in Lhokseumawe City Based on Android Misbahul Jannah; Muthmainnah Muthmainnah; Safwandi Safwandi; Mochamad Ari Saptari; Muhammad Muhammad; Rahmad Wahyudi; Mirza Farhan
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.320

Abstract

The advancement of information technology is now increasingly widespread and very rapidly growing so that it can help people to enjoy the various conveniences that have been produced by this technology. One aspect of technology currently developing rapidly is mobile technology on smartphone devices (smartphones). This android-based geographic information system application is one of the results of these technological developments, which have the benefits and uses that are needed in this day and age. So with the development of the world of technology, people prefer the way of convenience and efficiency, for example, by utilizing the sophistication of smartphones. Implementing the Geographic Information System (GIS) for tourism and lodging services in Lhokseumawe aims to build tourism applications and lodging services in Lhokseumawe based on Android and implement Google services. Maps Application Programming Interface (API) to facilitate tourists in obtaining information on mapping the location of tourist attractions and lodging, routes, and tourist support facilities in Lhokseumawe City. The method used is a waterfall process model. Implementing the Lhokseumawe Tourism Application and lodging services using Javascript programming with Android Studio, MySQL database, and maps sourced from the Google Maps API. The result is an Android-based Lhokseumawe City Tourism and lodging service application that helps make it easier for tourists to obtain information about tourist attractions, lodging, and routes from their current location to the desired tourist and lodging locations in Lhokseumawe City with the help of the Global Positioning System (GPS). Tourist information and lodging services are entirely related only to data entered into the database server. The results of this application display a list and location of tourist and lodging services as well as the shortest route to the nearest tourist or inn to the user's location point. It is also hoped that this system can be developed to produce a better system than the previous one.
IMPLEMENTASI SISTEM CERDAS LEAST SQUARE DALAM MERAMALKAN PEMENUHAN KEBUTUHAN STOK LISTRIK DI KOTA LHOKSEUMAWE Muhammad Sadli; Safwandi Safwandi
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 4 No 2 (2017): Jurnal Ecotipe, Oktober 2017
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/ecotipe.v4i2.8

Abstract

PLN (Perusahaan Listrik Negara) is one of the BUMN (Badan Usaha Milik Negara) in charge of providing electricity supply needs with the best service quality for the community. The growth of electricity demand for residents of Lhokseumawe City by 2020 is expected to increase to 10%. Based on these predictions, PLN must be able to forecast patterns from data needs lsitrik which has been then used to project the data that will come in order to give the best pelyanan for the community. Forecasting is one of the sciences in the field of intelligent systems that can predict long-term electrical demand in the city of Lhokseumawe. The least square forecasting model can be one of the components supporting the economic growth of Lhokseumawe City. Variables to be predicted in the fulfillment of electricity stocks are seen from household, industrial, commercial and public expenses. Furthermore, the need for electricity stock from each region will be seen from the installed capacity, power capable (MW) and peak load. Then the least quare forecasting model will determine the equation of data trend based on the data needs of electricity that has been then used to project the data needs of electricity to come. This research is expected to produce accurate forecasting value so that can be used as a reference for PLN party in taking policy. Proper forecasting can help PLN to save production cost due to mis-distribution. The specific target of this research is to know the quality of service PLN Lhokseumawe to the public so that the distribution of electricity is always stable. The long-term goal of implementing this smart forecasting system is to help improve the quality of PLN's services in meeting the long-term electricity needs of the people of Lhokseumawe.
APLIKASI KAMUS BAHASA INDONESIA-ARAB BERBASIS ANDROID MENGGUNAKAN METODE BOYER-MOORE Fadisar, Nanda; Darnila, Eva; Safwandi, Safwandi
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 1 No. 1 (2017): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2017
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v1i1.252

Abstract

Kamus merupakan alat bantu yang digunakan untuk menterjemahkan suatubahasa. Bahasa Arab merupakan salah satu bahasa yang digunakan oleh seluruhumat muslim di dunia untuk membaca Al-Quran dan berkomunikasi.Penggunaan kamus bahasa Arab - Indonesia sangat sangat sulit karena harusmembawa kamus yang berbentuk buku yang memiliki ketebalan dan cukup berat,untuk itu diperlukan Sebuah Aplikasi untuk membantu menterjemahkan bahasaarab ke dalam bahasa indonesia. Aplikasi tersebut berupa kamus mobile, yangdapat dipasang pada perangkat mobile berbasis android. Android cenderungdigunakan dalam tablet pc dan smartphone, selain itu android mudahdikembangkan karena bersifat open source. Selanjutnya untuk mempermudahpenterjemahan kata Bahasa arab ke bahasa indonesia, aplikasi ini dirancangdengan menggunakan algoritma boyer-moore. Algoritma ini dianggap sebagaialgoritma yang paling efisien pada aplikasi umum. Hasil dari penelitian inididapatkan dari proses pencocokan kata yang diinput user dengan kata didalamdatabase dan menampilkan hasil penterjemahan kata.Kunci : Kamus, Android, Bahasa Arab-Indonesia, boyer-moore
SISTEM PENGENALAN HAFALAN AL-QURAN SURAH AL-'ADIYAT MELALUI SUARA MENGGUNAKAN TRANSFORMASI KOSINUS DISKRIT Zuraida, Zuraida; Maryana, Maryana; Safwandi, Safwandi
Jurnal Teknologi Terapan and Sains 4.0 Vol 5 No 2 (2024): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v5i2.17545

Abstract

Prinsip pengembangan perangkat lunak otomatisasi adalah selaras dengan prinsip-prinsip yang ditekankan pada era revolusi industri 4.0., artinya perangkat  lunak pada era 4.0 sudah mampu meminimasir peran manusia baik dalam pengembangannya, kemampuan belajar, ataupun operasional-operasional teknis lainnya. Untuk menjawab tantangan model 4.0, maka penelitian ini mengajukan sebuah algoritma yang robust dalam menguji hafalan-hafalan Quran secara digital. Pendekatan yang digunakan mewakili fungsi basis eksponensial yaitu Transformasi Kosinus. Pengujian melibatkan 100 sampel para penghafal Quran. Hasil penelitian menunjukkan bahwa sistem pengujian hafalan Al Quran menggunakan pendekatan transformasi Kosinus mampu mengenali atau memiliki detection rate berkisar 95% pola suara. Persentase detection rate tersebut menunjukkan bahwa model transformasi sinyal tersebut dapat digunakan sebagai salah satu pendekatan untuk sistem pengujian suara waktu-nyata.Keyword : Transformasi Kosinus.
PENDETEKSIAN KALIMAT SINDIRAN MENGGUNAKAN ALGORITMA NAIVE BAYES Fikry, Muhammad; Safwandi, Safwandi
Jurnal Teknologi Terapan and Sains 4.0 Vol 4 No 3 (2023): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v4i3.14744

Abstract

Dalam kehidupan masyarakat modern ini tidak terlepas dari dari media sosial, dimana penggunaan media sosial yang tidak bijak bisa mengakibatkan hal yang fatal. Dimasa sekarang ini banyak terjadi kasus pem-bully-an maupun kasus dimana masyarakat saling sindir menyindir sehingga terjadi saling permusuhan antar masyarakat. Pada penelitian kali ini penulis akan membuat sebuah sistem untuk mendeteksi kalimat-kalimat sindiran yang sering terjadi dalam kehidupan sehari-hari masyarakat indonesia. Penulis menggunakan metode Naive Bayes, Metode ini juga sangat sering digunakan oleh peneliti-peneliti lain karena tingkat akurasinya yang tinggi.Kata Kunci”Pendeteksian kalimat, Kalimat sindiran, Deteksi sindiran, Naive Bayes, Metode Naive Bayes.
Comparison of the Results of the K-Nearest Neighbor (KNN) and Naïve Bayes Methods in the Classification of ISPA Diseases (Case Study: RSUD Fauziah Bireuen) Putri, Riska Yolanda; Yunizar, Zara; Safwandi, Safwandi
Journal of Advanced Computer Knowledge and Algorithms Vol 1, No 1 (2024): Journal of Advanced Computer Knowledge and Algorithms - January 2024
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v1i1.14535

Abstract

Acute Respiratory Infection or commonly called (ARI) is a disease caused by bacteria or viruses. (ARI) can attack all ages, especially children. This study aims to compare the accuracy of classification in (ARI) disease. The data used is data from patients affected by (ARI) disease at Fauziah Bireuen Hospital. K-Nearest Neighbors and Naïve Bayes can be used in the classification of (ARI) diseases. Measurement of accuracy using Confusion Matrix in the K-Nearest Neighbors method with the Eulidean Distance approach in the case of (ARI) disease classification obtained a percentage of precision of 91%, recall 84% and accuracy of 88%. While the Naïve Bayes method obtained a percentage of precision of 95%, recall 78% and accuracy of 86%. The results of the accuracy comparison of the two methods show that the K-Nearest Neighbors method has a higher accuracy rate than the Naïve Bayes method.
SISTEM PENGENALAN POLA MAD IWAD PADA CITRA AL-QUR`AN DENGAN MENGGUNAKAN METODE COSINE Munauwarah, Munauwarah; Safwandi, Safwandi; Agusniar, Cut
Jurnal Teknologi Terapan and Sains 4.0 Vol 5 No 3 (2024): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v5i3.19680

Abstract

Mempelajari ilmu Al-Qur'an sesuai dengan hukum dan kaidah tajwid yang benar adalah kewajiban, karena kesalahan dalam pengucapan huruf Al-Qur'an dapat mengubah maknanya. Dalam Al-Qur'an, terdapat berbagai tanda khusus seperti hukum tajwid dan hukum mad, yang umumnya dipelajari dengan bimbingan guru ahli Al-Qu`an. Namun, metode belajar langsung dari guru menjadi kurang efisien di era modern ini, yang menuntut cara lebih praktis karena keterbatasan waktu dan akses. Seiring perkembangan teknologi, dibutuhkan sistem yang mampu mengenali hukum tajwid, khususnya mad iwad, melalui citra yang diinputkan secara digital. Program ini dirancang untuk memudahkan pengenalan pola mad iwad yang terdapat di dalam Al-Qur'an. Penelitian ini menjelaskan bahwa pola dideteksi melalui beberapa tahap, yaitu resize gambar, konversi ke citra grayscale, dan dilanjutkan dengan konvolusi. Proses pendeteksian pola mad iwad, khususnya pada surah Abasa, menggunakan metode Cosine yang menghitung nilai citra berdasarkan koordinasi dan piksel citra tersebut. Hasil penelitian menunjukkan bahwa sistem pengenalan pola mad iwad pada surah Abasa ini mencapai detection rate sebesar 85%. Ini membuktikan bahwa metode Cosine efektif dan dapat diterapkan sebagai salah satu pendekatan untuk mendeteksi pola mad iwad dalam citra Al-Qur'an. Namun, efektivitas sistem ini bergantung pada kualitas citra, semakin jelas citra yang diinput, semakin mudah sistem dalam mendeteksinya.Kata kunci: Sistem pengenalan pola, Mad Iwad, Metode Cosine, Surah Abasa
Klasifikasi Varietas Kopi Berdasarkan Kondisi Tanah dan Suhu Menggunakan Algoritma Gaussian Naïve Bayes Riza, Fahrur; Safwandi, Safwandi; Fadlan, Said
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.2311

Abstract

This research aims to classify the most suitable coffee varieties grown in the Bener Meriah region based on environmental factors such as soil pH, altitude from sea level (masl), and temperature. The method used is Gaussian Naïve Bayes, a probability-based classification technique that assumes that the input features are normally distributed and mutually independent. This method is relevant because it is able to handle numerical data efficiently. The results showed that the classification accuracy reached 45.7%, with a high precision value in the Gayo 3 class of 0.60%. Although the results are not yet optimal, the method shows potential in predicting the suitability of coffee varieties based on the analyzed environmental parameters.
DECISION SUPPORT SYSTEM USING WEIGHTED PRODUCT METHOD IN CHIPS MATERIAL SELECTION (CASE STUDY: HASTI FAMILY CHIPS BUSINESS) Luqman Nul Hakim; Safwandi; Risawandi
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 4 No. 4 (2024): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v4i4.2406

Abstract

This study designs a decision support system to help the owner of the Hasti Family chips business choose the optimal raw materials in making cassava, banana, and breadfruit chips. The Weighted Product (WP) method is used as a multi-criteria decision-making method by considering criteria such as chip color, chip texture, chip taste, chip durability and fruit price. Criteria data and alternative raw materials are processed using WP calculations to produce the best alternative ranking. The result is a web-based decision support system that implements the WP method, presents an interface for entering data and displays the best alternative ranking. This system improves the efficiency of decision-making, minimizes the risk of selecting inappropriate raw materials, improves product quality, and supports business growth. The results of the research on the decision support system for selecting chips ingredients show that this system determines the best ingredients by finding the final value of the V vector search from 3 cassava data, 3 banana data and 3 breadfruit data that will be entered into the system and get results from butter cassava, which has the highest V value of 0.38311467, followed by wak banana with an impressive V value of 0.398763354, and Bali breadfruit, which has a prominent V value of 0.350015233. The conclusion of this study is that the designed application is able to optimize the process of selecting raw materials for chip production more efficiently, quickly, and this system not only accelerates decision making but also ensures more structured and reliable data recording.
Co-Authors Abdul Halim Andik Bintoro Annisa raihan Ar Razi asmaul husna Asri Anda Azhari Putra Sayani Bima Sadewa Cut Agusniar Dahlan Abdullah Diana Diana Eva Darnila Fadisar, Nanda Fadlan, Said Fadlisyah Fadlisyah Fajriana Fajriana, Fajriana Fatia Naura Hamdi Akmal Lubis, Hamdi Akmal Kamilna kamilna Kurniawati Kurniawati Luqman Nul Hakim Maryana Maryana Mirza Farhan Misbahul Jannah Mochamad Ari Saptari Muchlis Abdul Muthalib Muhammad Aldonny Altharizka Muhammad Fikry Muhammad Hafizal Muhammad Muhammad Muhammad Sadli, Muhammad Mukti Qamal Munauwarah, Munauwarah Muslimatul Magfirah Muthmainnah Muthmainnah Nadia Rizatul Riski Nadya Syahfitri Damanik Novia Hasdyna Nurwijayanti Putri Yesi Ramadhani Putri, Riska Yolanda Qamaruz Zaman Rahmad Wahyudi Raihan Arkan Rini Meiyanti Risawandi, Risawandi Riza, Fahrur Rizal S.Si., M.IT, Rizal Rizki Suwanda Rizky Putra Fhonna Roza Tarina Rozzi Kesuma Dinata Said Fadlan Anshari Teuku Ibrar Faturrahman Ibrar Tri Wulandari Veri Ilhadi Yenni Maulida Yessy Afrillia Yulidayanti - Yulidayanti Zahratul Fitri Zahratul Fitri Zahratul Fitri Zara Yunizar Zuraida Zuraida