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All Journal Prosiding Semnastek Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah FIFO CogITo Smart Journal Jurnal Ilmiah Matrik JUTEI (Jurnal Terapan Teknologi Informasi) JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal Infomedia Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal SITECH : Sistem Informasi dan Teknologi Zonasi: Jurnal Sistem Informasi Aiti: Jurnal Teknologi Informasi Jurnal Algoritma, Logika dan Komputasi Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Media Abdimas Jurnal Karya untuk Masyarakat (JKuM)
Hakim, Lukman
Bunda Mulia University
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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IMPLEMENTASI ALGORITMA BOYER MOORE PADA WEB E-KATALOG FLORA DAN FAUNA PULAU JAWA SUMATERA Lukman Hakim Hakim; Vivi Juliana
Jurnal Ilmiah FIFO Vol 8, No 1 (2016)
Publisher : Fakultas Ilmu Komputer

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Abstract

Indonesia memiliki kekayaan flora dan fauna serta kehidupan liar lainnya yang mengundang perhatian dan kekaguman berbagai pihak baik di dalam maupun di luar negeri. Tercatat tidak kurang dari 515 spesies mamalia (terbanyak di dunia), 1.519 spesies burung (keempat terbanyak), 270 spesies amfibia (kelima terbanyak), 600 spesies reptilian (ketiga terbanyak), 121 spesies kupu-kupu (terbanyak) dan 20.000 spesies tumbuhan berbunga (ketujuh  terbanyak) menghuni  habitat-habitat  daratan  dan  lautan  di  112 kepulauan, Memiliki 17.058 pulau dan setiap pulau memiliki keanekaragaman flora dan fauna yang tinggi, termasuk tingkat endemis dan keanekaragamannya. Aplikasi pengarsipan (katalog) menggunakan metode Boyer Moore untuk proses pencarian data, algoritma ini memiliki tingkat keakuratan dalam pencocokan string (text) dan pembacaan setiap karakter dari pattern kanan ke kiri. Penelitian ini berupa aplikasi berbasis web yaitu e-katalog yang mengumpulkan informasi flora dan fauna endemik Indonesia, aplikasi memberikan informasi secara akurat berdasarkan wilayah atau propinsi, e-katalog dilengkapi pencarian yang akurat dengan menggunakan algoritma Boyer Moore. Implementasi algoritma Boyer Moore pada e-katalog memberikan kemudahan dalam mencari informasi yang berhubungan dengan flora dan fauna endemik indonesia secara akurat dan efisien, e-katalog memberikan informasi berdasarkan kategori setiap perwilayah atau propinsi secara akurat.
KAJIAN DESAIN E-LEARNING UNIVERSITAS BUNDA MULIA BERDASARKAN SPESIFIKASI E-LEARNING Lukman Hakim; Halim Agung
Prosiding Semnastek PROSIDING SEMNASTEK 2018
Publisher : Universitas Muhammadiyah Jakarta

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Abstract

e-Learning merupakan konsep pengajaran dan pembelajaran yang mengimplementasikan teknologi informasi dan komunikasi menggunakan internet, e-learning juga harus mengandung unsur usability yang baik berdasarkan standar ISO 9241 serta karakteristik e-learning untuk memberikan kemudahan dalam proses pembelajaran, pengembangan e-learning juga mengacu pada framework. Penelitian ini untuk mengkaji aplikasi e-learning sesuai dengan karakteristik dan usability berdasarkan framework e-learning. Pengumpulan data responden sebanyak 30 pada aplikasi e-learning Universitas Bunda Mulia. Hasil penelitian pada unsur usability berdasarkan know-ability 18.02%, Operability 11.41%, Efficiency 12.91%, Robustness 14.71%, Safety 12.01%, Subjective Satisfaction 20.12%, Communicativeness 6.91%, User Expectation 3.90, dan karakteristik e-learning yang perlu diperbaiki pada Multimedia Learner style, Collaborative Learning, Non-linearity, Self-Managing.
Penggunaan N-Gram dan Jaro Winkler Distance pada Aplikasi Kelas Daring untuk Deteksi Plagiat Lukman Hakim
Prosiding Semnastek PROSIDING SEMNASTEK 2019
Publisher : Universitas Muhammadiyah Jakarta

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Abstract

Perkembangan teknologi e-learning yang diterapkan oleh berbagai perguruan tinggi memberikan kemudahan tanpa perlu bertatap muka secara langsung, hal ini tentu juga banyak dampak negatif dan positif salah satu dampak negatif apakah mahasiswa dapat terkontrol dengan baik seperti tugas yang mahasiswa kerjakan tidak plagiat terhadap tugas mahasiswa lainnya, hal ini perlu dibuat aplikasi yang berfungsi untuk memberikan kemudahan dosen untuk melacak tingkat kesamaan tugas antara mahasiswa satu dengan mahasiswa lainnya, dengan perancangan aplikasi deteksi plagiat menggunakan algoritma N-gram dan Jaro Winkler Distance dapat melakukan pengecekan kesamaan kata pada tugas forum mahasiswa pada kelas daring, dari pengujian 18 tugas forum pada algoritma N-Gram dan jaro winkler terdapat kesamaan kata rata-rata sebesar 75,56%. Pengujian secara acak pada materi acuan secara otomatis belum dilakukan.
TRAFFIC LIGHT CONTROL USING FUZZY LOGIC MAMDANI METHOD Paula Juniana; Lukman Hakim
Jurnal Terapan Teknologi Informasi Vol 3 No 1 (2019): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1004.572 KB) | DOI: 10.21460/jutei.2019.31.126

Abstract

Penyebab terlambatnya distribusi barang, berkurangnya produktivitas karyawan serta roda ekonomi yang tidak cukup baik salah satunya adalah kemacetan. Kemacetan sendiri akibat pengaturan lampu lalu lintas yang tidak dinamis sehingga pengaturan jalur tidak sesuai kondisi yang ada. Jakarta adalah salah satu kota terbesar dan termacet ke-2 di Asia, perlu penanganan serius seperti pengaturan lalu lintas yang baik sehingga mengurangi kemacetan dan kerugian ekonomi lainnya. Sistem lalu lintas dengan menerapkan kemampuan kecerdasan buatan lebih memungkinkan digunakan pada kota besar seperti Jakarta. Berdasarkan masalah tersebut, dilakukan penelitian pada sistem lalu lintas tiga jalur atau sepertigaan dengan penambahan sensor inframerah pada lampu lalu lintas dan penambahan waktu setiap terdeteksi kemacetan dan jalur lancar. Sistem kontrol lampu lalu lintas menggunakan metode Fuzzy Logic Mamdani. Metode Mamdani membandingkan berdasarkan kondisi dari setiap sensor infrared sebagai variabel masukan panas dari kendaraan pada setiap jalur, semakin padat jalur semakin panas jalur tersebut. Deteksi kemacetan ini akan membantu sistem dalam mengendalikan waktu lampu hijau, lampu berdasarkan kondisi kemacetan. Berdasarkan percobaan, prototipe merespon jalur yang dipenuhi kendaraan, prototipe menambahkan waktu lampu hijau sesuai dengan kondisi yaitu 0 detik, 5 detik, 10 detik, dan 15 detik. Namun, ketika jalanan tidak terdeteksi oleh kemacetan lalu lintas, lampu hijau akan kembali normal pada 15 detik tanpa waktu tambahan
Deteksi Kebocoran Gas LPG menggunakan Detektor Arduino dengan algoritma Fuzzy Logic Mandani Lukman Hakim; Vidi Yonatan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 1 No 2 (2017): Agustus 2017
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (743.104 KB) | DOI: 10.29207/resti.v1i2.35

Abstract

Bencana kebakaran yang diakibatkan oleh kebocoran gas LPG (Liquid Petroleum Gas) mengalami kenaikan setiap tahun dari tahun 2011 sampai 2015 diantaranya 17% diakibatkan oleh kebocoran gas. Penggunaan detektor kebocoran gas LPG menggunakan arduino yang dilengkapi sensor gas dan suhu memberikan kemudahan untuk deteksi secara awal terjadinya kebocoran dan kebakaran. Perancangan detektor kebocoran gas LPG menggunakan algoritma fuzzy logic mandani, dilengkapi dengan informasi melalui Short Message Service (SMS) dan Buzzer. Detektor kebocoran gas LPG dapat melakukan indikasi terjadinya bocor pada konsentrasi gas rata-rata 456 ppm dari 10 pengujian dan indikasi api merah 23,30 dapat mengenal terjadinya kebakaran, detektor mengirimkan SMS kepada pemilik rumah dan pemadam kebakaran.
Indikasi Penyimpangan Laporan Keuangan Akademik Universitas XYZ Menggunakan Algoritma Greedy dan K-Means Lukman Hakim; Harvin Seruni
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1052.796 KB) | DOI: 10.29207/resti.v2i1.261

Abstract

Financial deviation are often found in various agencies as occurred in 16 PTN (Merdeka.com) in the financial reporting of a lot of unfairness in the BPK (Supreme Audit Agency) report, this happens because the mechanism of reporting in the internal University has no financial audit. It is necessary to create an application that can detect the occurrence of deviation in proposals and financial reports that impact on unnatural reports, this study using the Greedy and K-Mean Clustering algorithms. The application of academic financial detection at University XYZ has the function of making proposal, financial report, monitoring from the person in charge to facilitate supervision and the existence of notification if there is budget unreasonable. The application of Greedy and K-Mean algorithms to the application can be applied by simulating proposals and reports that have reasonable and unreasonable prices, showing success with the notification of each proposal and unnatural reports on finance.
EVALUASI HEURISTIC DESAIN ANTARMUKA (INTERFACE) WEBSITE PEMASARAN UNIVERSITAS XYZ Destriana Widyaningrum; Lukman Hakim
Jurnal Algoritma, Logika dan Komputasi Vol 2, No 1 (2019): Jurnal ALU Volume 2 nomor 1 Maret 2019
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/j-alu.v2i1.1570

Abstract

This research was conducted to improve user comfort and maintain business strategy amid increasingly widespread e-commerce competition. The researcher evaluated the interface of the XYZ University website with the Heuristic method of Nielsen and Molich, as an approach in evaluating a human-machine system (man-machine system) related to ease of use (usability).The study was conducted by evaluating the XYZ University website marketing interface, based on ten studies related to user convenience, namely feedback, metaphor, navigation, consistency, prevention, memory, efficiency, design, recovery and help. Interfaces that correspond to the study points are recorded and sampled accordingly, as well as if there is an interface that is not in accordance with the study points, it will be recorded and examples of things that are not appropriate are taken. The results of this study are in the form of a summary of recommendations for improving the interface design of the XYZ University website. Keywords:  heuristic evaluation, interface, design, website
IMPLEMENTASI STEGANOGRAFI PADA CITRA DIGITAL DAN KRIPTOGRAFI ALGORITMA HILL CHIPPER UNTUK PENGAMANAN INFORMASI BERUPA TEXT Aldo Aldo; Lukman Hakim
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 5 No. 1 (2018)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1089.422 KB) | DOI: 10.33197/jitter.vol5.iss1.2018.247

Abstract

The exchange of information is very easy by using the internet as a liaison from the party who sends information to the party receiving the information. It is also easier for unauthorized parties to obtain information that will be sent from the sending party to the recipient via the internet. So that information requires security features. Encoding is a security technique to change information in the form of text, digital images, audio, video into information that has no meaning or is random. If the party who has the information that has been encoded does not have the key to open the encryption then the information cannot be read because it does not have a specific meaning. Insertion is a security feature wherein an information will be entered into a container media or the information is hidden in the container media. At this writing will be focused on creating a system that can encode, decrypt passwords, insert an information into a container media and extract information from a media that can be a digital image with the format: jpeg, bitmap, and png which is useful for increasing the level of security from an information. Encryption algorithm is an algorithm that converts an information (plain text) into a randomized information ( ciphertext) uses the specified key from the sender and recipient. The encoding algorithm used is the Hill Cipher algorithm. Which will be combined with the Least Significant Bit method as a method in the information insertion process. LSB will change every last bit value of each pixel in the cover image according to the binary value of the message in sequence, so that the result of the stego image will not change significantly if seen by the human eye.
IMPLEMENTASI ALGORITMA APRIORI UNTUK PREDIKSI STOK PERALATAN TULIS PADA TOKO XYZ Andre Valerian; Lukman Hakim
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 5 No. 1 (2018)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (784.416 KB) | DOI: 10.33197/jitter.vol5.iss1.2018.248

Abstract

For school children, offices, and students stationery is needed. Because stationery are needs to take notes important things. Although in the current digitalization era learning materials can be obtained online to minimize the use of stationery, it doesn't rule out the possibility that stationery are needed indeed for other activities. Therefore, stores that provide various types of stationery must be able to know the level of purchases on products ?products that are more often purchased by consumers so that the supply of stock products can be more focused on products that are more often purchased by consumers. At this writing, the author uses the Apriori algorithm that performs itemset frequencies to get association rules that meet the minimum support requirements and minimum confidence requirements with a number of itemset in the overall transaction to achieve the percentage of support and the percentage of confident value in determining items that are often sold in every transaction. By using the Apriori algorithm which has an accuracy rate of around 70%, it can predict the stock of product sales at the XYZ store. The purpose of applying the Apriori algorithm at this writing is to find out the level of purchases on products that are more often purchased by consumers based on existing transaction data to provide a more efficient stock of sales products.
PENERAPAN ALGORITMA K-MEANS CLUSTERING UNTUK PENGELOMPOKAN TINGKAT KESEJAHTERAAN KELUARGA UNTUK PROGRAM KARTU INDONESIA PINTAR Eric Fammaldo; Lukman Hakim
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 5 No. 1 (2018)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (747.941 KB) | DOI: 10.33197/jitter.vol5.iss1.2018.249

Abstract

Poverty in Indonesia occurs almost in various regions, one of them is the Jakarta region. Although Jakarta is a fairly large area and is one of the most developed regions, there are still some families that are still poor and unable to send their children to school, so the government issued the Kartu Indonesia Pintar program to help poor families. Although this program can really help poor families to send their children to school, sometimes there are some families that are classified as poor but do not even get the benefits of this program, but a family that can afford it get the benefits. The purpose of this paper discusses the application of data mining using the algorithm K-Means Clustering in grouping families classified as poor, simple and rich in terms of the amount of monthly income, average monthly expenditures and total assets owned, as well as the number of children who are classified according to elementary level , Junior high and high school to determine the amount of assistance that will be given based on the level. The resulting output will be in the form of a 3-table report in which each table contains data on families classified as poor, simple and rich, where this simple group can later be reviewed whether they are entitled or not to get the assistance of the Kartu Indonesia Pintar program. From the results of testing using 200 family data, the accuracy of the results of the application of K-Means Clustering was 69%.
Co-Authors Aldo Aldo Alvin Kennedy Andre Valerian Andy Wijaya Brian Christian Chiquitha Danuputri Chyquitha Danuputri Damian Victor Putra Rape Tupen Daniel Ronaldo Pangestu David Andrean Destriana Widvaninqrum Destriana Widyaningrum Elvina Elvina Eric Fammaldo Ester Lumba Ferdy Nicolas Fernando Dedi Samuel Halim Agung Harvin Seruni Jason Alexander Maya Cendana, Maya Nur Fanny Savira Paula Juniana Rama Utama Putra Suprijanto Renaldy Prabowo Stefanus Andree Gunawan Thenata, Angelina P. Vidi Yonatan Vivi Juliana Wahyu Eko Sridaryanto Willy Stevanus Susilo Willy Stevanus Susilo