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All Journal SMATIKA Sinkron : Jurnal dan Penelitian Teknik Informatika Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal Teknik Komputer AMIK BSI Paradigma Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri Informatics for Educators and Professional : Journal of Informatics IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) INTI Nusa Mandiri JIKA (Jurnal Informatika) Jurnal Infortech Jurnal AbdiMas Nusa Mandiri Abditeknika - Jurnal Pengabdian Kepada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Indonesian Journal of Networking and Security - IJNS Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Teknologi Sistem Informasi Adopsi Teknologi dan Sistem Informasi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Smatika Jurnal : STIKI Informatika Jurnal Bianglala Informatika Jurnal Infortech
Kresna Ramanda
Universitas Bina Sarana Informatika
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 Mathematics Physics Social Sciences Other

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Penerapan Metode Dijkstra Pada Sistem Informasi Pencarian Jarak Terpendek Menuju Rumah Sakit di Wilayah Jakarta Barat Syarifudin, Imam; Yunita, Y; Ramanda, Kresna
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (875.796 KB) | DOI: 10.30645/j-sakti.v5i2.355

Abstract

The health center has a very important role because it can help care for and care for people who are sick and provide emergency room services (UGD). for immigrants in the West Jakarta area who still have not seen where the health center is and have to go through which route is closer to where they are. There are several algorithms that can be used to determine the shortest path, one of which is using the Dijkstra algorithm. Search for the shortest distance to the hospital in the West Jakarta area using the Dijkstra method. The problem of finding the shortest path on the graph is one of the optimization problems. The graph used in the search for the shortest path is a wighted graph, which is a graph where each side is given a value or weight. In determining the shortest path, Dijkstra's algorithm starts from the initial node to the destination node. Where each node has a predetermined distance value. The results of this study indicate that Dijkstra's Algorithm is the right method to produce the shortest route for finding the path to hospitals in the West Jakarta area.
Penerapan Algoritma C.45 Untuk Menentukan Tingkat Kepuasan Pelanggan Kartu Telkomsel Prabayar Sikumbang, Erma Delima; Ariani, Fattya; Handayani, Tiwi; Ramanda, Kresna; Sukmana, Sulaeman Hadi; Supriyatna, Adi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.492

Abstract

Telkomsel is an operator mobile phone company that provides services for mobile phone users. The mobile phone Operator creates a small SIM card for the customer by means of having to be inserted into each phone to get access to the service. One of the most used mobile operators and belongs to the largest category in Indonesia is Telkomsel. In This study implemented algorithm method C. 45 in deciding customer satisfaction against the use of prepaid Telkomsel cards. This type of research is to implement data mining concept by involving as many as 100 user data of prepaid Telkomsel card through the dissemination of questionnaires. There is an attribute in each variable that affects customer satisfaction including: price, promotion, product quality and service quality. Based on manual calculation results and with the help of the RapidMiner studio 9.7 software is known to be the root is a variable quality service with the highest gain value of 0.266396957 and results classification accuracy value of 0.9655 so that belongs to the classification category is very good
Metode Simple Additive Weighting (SAW) dalam Pemilihan Media Pembelajaran Bahasa Korea Ramanda, Kresna; Sundari, Wiwin; Rusman, Arief; Sikumbang, Erma Delima; Sukmana, Sulaeman Hadi; Azizah, Qudsiah Nur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.660

Abstract

Almost all Asian countries experience the Korean Wave phenomenon. Asian countries such as Japan, China, Taiwan, Hong Kong, Thailand, Philippines, Singapore, Malaysia, Indonesia and others. With such a phenomenon, it can be observed that if someone likes something from abroad, most people are interested in learning the language. However, it is still difficult for them to find Korean language learning solutions. And one solution is to use appropriate learning media to support learning. The simple additive weight (SAW) method, also known as the weight sum method, will be applied in this study. The SAW method can select the best alternative from several available alternatives because it is ranked after determining the weight of each feature. The results showed that alternative or mobile learning at A2 is the best learning media for Korean and the simple additive weight (SAW) method can determine the best choice of Korean language learning environment. Keywords: Simple Additive Weighting, learning media, Korean language
Metode Analytic Hierarchy Process Dalam Menentukan Promosi Jabatan Pujiati, Tri Wahyuni; Sikumbang, Erma Delima; Ariani, Fattya; Ramanda, Kresna; Sukmana, Sulaeman Hadi; Azizah, Qudsiah Nur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.605

Abstract

Promotion plays an important role for every employee in the workplace, because promotion can offer changes in social status, authority, responsibility and increase in income to every employee who is given the opportunity. In the process of promotion to the position of the DKI Jakarta Province Population and Civil Registry Service, criteria are needed in making a decision. Promotion decisions require different considerations of many different factors and suggestions must be made objectively, if the wrong decision is taken during the promotion process, it will have a negative impact on employees and the Agency. The Analytic Hierarchy Process (AHP) method is applied to examine the effect of each criterion in determining promotions to obtain accurate results in determining the best and most appropriate criteria. The results showed that the "Employee educational background" criterion was the most important criterion for promotion. The results of processing survey data using the AHP method and the Expert Choice survey are not much different from one another. The AHP (Analytical Hierarchy Process) method can determine promotion selection.
Model ITPOSMO untuk Evaluasi Keberhasilan Aplikasi Bravo Awaludin, Rizky; Ramanda, Kresna; Puspitasari, Diah; Sikumbang, Erma Delima
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 15 No 1 (2025): Maret 2025
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v15i1.754

Abstract

Bravo-PUPR application problems are caused by many factors, inaccurate data, inadequate integration, technical infrastructure and high process complexity. In addition, inconsistencies between organizational values and digital innovation, lack of training, weak coordination, and external support are also obstacles to the success of such e-government. To find the success rate of the Bravo-PUPR application, we used the ITPOSMO model to assess the gaps between the designs realized in the application. Of the 39,308 employees in the population used for the study, only 100 met the criteria to be selected using the Purpose Sampling technique. Quantitative data analysis is used, primarily to test for gaps. As a result, the Other Resource dimension received the lowest GAP score, which was 0.09. In addition, Staffing and Skills dimension received a score of 0.76, Objective and value obtained a score of 1.17, Technology obtained a score of 1.61, Information obtained a score of 1.69, and Management and Structure obtained a score of 1.82. The highest GAP score in the Process dimension is 2.44. This score is obtained based on the calculation of the overall assessment table. The project may have been successful due to its overall rating of 9.58, which ranges from 0 to 14.
Metode Pieces untuk Evaluasi Kinerja Sistem Aplikasi Newspaper Delivery Shafa, Muadzi; Ramanda, Kresna; Sukmana, Sulaeman Hadi; Azizah, Qudsiah Nur; Rusman, Arief
Jurnal Teknologi Sistem Informasi Vol 6 No 1 (2025): Jurnal Teknologi Sistem Informasi
Publisher : Program Studi Sistem Informasi, Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jtsi.v6i1.9307

Abstract

Industri media telah mengalami perkembangan pesat dalam teknologi informasi, khususnya dalam hal penyebaran konten berita. PT Jasatama Polamedia fokus pada layanan pengiriman surat kabar, tetapi masih menghadapi beberapa masalah. Surat kabar yang tidak terkirim dan keterlambatan pengantaran yang tinggi menunjukkan bahwa kinerja kurir masih belum optimal. PT Jasatama Polamedia telah mengembangkan sistem aplikasi Newspaper Delivery untuk membantu mengelola distribusi surat kabar. Sistem ini memungkinkan perusahaan melacak lokasi dan kinerja kurir, serta mengoptimalkan rute distribusi. Meskipun aplikasi ini telah diimplementasikan, evaluasi kinerjanya masih diperlukan untuk pengembangan masa depan aplikasi Newspaper Delivery. Metode PIECES (Performance, Information, Economic, Control, Efficiency, Service) digunakan untuk evaluasi kinerja aplikasi Newspaper Delivery. Hasil penelitian dengan metode PIECES menunjukan bahwa variabel performance mendapatkan skor 3,93, variabel Information mendapat skor 3,85, variabel Economic mendapat skor 3,75, variabel control mendapat skor 4,19, variabel Efficiency mendapat skor 4,24, dan variabel Service mendapatkan skor 3,93, serta rata - rata skor dari semua variabel adalah 3,98 yang dimana loper atau pengguna merasa puas terhadap kinerja Aplikasi Newspaper Delivery.
Pelatihan Dasar Animasi Menggunakan Macromedia Flash Pro 8.0 Untuk Warga Rt.010 Mampang Prapatan Jakarta Selatan Saryoko, Andi; Ramanda, Kresna; Rosyda, Susy; Sari, Retno; Ridwansyah, Ridwansyah
Abditeknika Jurnal Pengabdian Masyarakat Vol. 1 No. 1 (2021): April 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abditeknika.v1i1.219

Abstract

Saat ini penggunaan Teknologi Informasi di masyarakat sudah menjadi hal sehari- hari yang digunakan, tetapi pengetahuan mengenai ICT belum semua masyarakat mengetahuinya secara maksimal. Dosen dan PPPM (Pusat Penelitian dan Pengabdian Masyarakat) Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri ingin melakukan pengabdian masyarakat dengan tema Pelatihan Dasar Animasi Menggunakan Macromedia Flash Pro 8.0 Untuk Warga RT.010 Mampang Prapatan Jakarta Selatan. Kami selaku Dosen dan PPPM (Pusat Penelitian dan Pengabdian Masyarakat) Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri ingin melakukan pengabdian masyarakat dengan memberikan pelatihan kepada Anak-anak warga RT.010 Mampang Prapatan Jakarta Selatan dengan tema Pembelajaran Design Animasi Menggunakan Macromedia Flash 8.0 Untuk Anak-Anak Warga Dilingkungan RT.010 Mampang Prapatan Jakarta Selatan agar memiliki kemampuan membuat suatu animasi interaktif. Kemampuan dalam membuat animasi ini dapat menjadi modal mereka untuk dapat bersaing di era globalisasi ini.
Sistem Pendukung Keputusan Pemilihan Guru Teladan SD Negeri Ceger 02 Pagi Menggunakan Metode Analitical Hierarcy Proces Oka Mahendra; Kresna Ramanda
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 10 No 01 (2020): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v10i02.422

Abstract

The selection of exemplary teachers is done every semester, which is done six months to determine who deserves to be an exemplary teacher. In this case the teacher's assessment is exemplary by the teachers and leaders. schools do not have methods that can deal with priority issues with work ethic criteria, objectives, scholarship, inclusive attitudes, communication is the benchmark in selecting model teachers. In addition, schools also often have difficulty in selecting exemplary teachers to be assessed. this becomes a flaw to determine whether or not the teacher is selected as an exemplary teacher. Therefore it is necessary to test the results of these methods to see the strength of the relationship of the results obtained with the ranking of decisions made. the stronger the relationship will certainly be better. This can be seen from the calculation of the Analytical Hierarchy Process (AHP), which is the Hierarchy Consistency Ratio (CRH) in the selection of model teachers in Ceger State Elementary School 02 in the morning of East Jakarta, obtained a value> 0.1 which is = 0.02553225 which means the calculation results can be declared correct .
Inovasi Artificial Intelligence dalam Mengidentifikasi Pneumonia Anak untuk Meningkatkan Efisiensi Diagnostik Menggunakan Model CNN Kresna Ramanda; Monikka Nur Winnarto; Sucitra Sahara
Jurnal Infortech Vol. 7 No. 2 (2025): Desember 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v7i2.11383

Abstract

Pneumonia adalah salah satu jenis infeksi yang paling sering ditemui dan berisiko tinggi di seluruh dunia, yang mengakibatkan angka penyakit dan kematian yang tinggi, khususnya di kalangan populasi yang rentan seperti anak-anak. Dengan demikian, penelitian ini bertujuan untuk menciptakan sistem pintar yang mampu mengidentifikasi pneumonia secara otomatis melalui gambar thorax dengan memanfaatkan arsitektur Convolutional Neural Networks (CNN). Dalam penelitian ini, beberapa arsitektur CNN, yaitu MobileNet V2, ResNet, dan EfficientNet diuji untuk mencari model terbaik, dengan mempertimbangkan risiko overfitting dan penggunaan optimizer yang tepat. Metode yang digunakan mencakup pengumpulan data, preprocessing, pembagian dataset menjadi data train, test dan validasi, serta penerapan teknik transfer learning. Evaluasi dilakukan berdasarkan parameter kinerja seperti akurasi, sensitivitas dan presisi untuk menilai performa model. Hasil penelitian menunjukkan bahwa arsitektur MobileNet V2 memberikan kinerja terbaik dengan akurasi mencapai 93%. Model ini kemudian diimplementasikan dalam sistem cerdas yang dapat mempercepat dan mempermudah proses diagnosis pneumonia sehingga memberikan manfaat signifikan bagi sektor kesehatan dan masyarakat luas. Penelitian ini juga menekankan pentingnya teknik optimasi yang tepat dalam memastikan model dapat bekerja secara optimal di aplikasi dunia nyata.
Pendekatan Algoritma Naive Bayes Dalam Memprediksi Penyakit Diabetes Qudsiah Azizah; Diah Puspitasari; Sulaeman Hadi Sukmana; Erma Delima Sikumbang; Kresna Ramanda
Jurnal Infortech Vol. 7 No. 2 (2025): Desember 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v7i2.11397

Abstract

Diabetes melitus merupakan penyakit metabolik yang bersifat kronis dan multifaktorial. Penyakit ini menunjukkan gejala peningkatan kadar gula darah (hiperglikemia) akibat proses metabolisme karbohidrat yang tidak normal, lemak, dan protein yang tidak normal. Hingga saat ini, terdapat lebih dari 150 juta orang yang tercatat di seluruh dunia mengidap penyakit ini dan perkembangan penyakit yang terus meningkat dapat menyebabkan komplikasi yang fatal. Faktanya, sebagian besar masyarakat mengabaikan tanda-tanda awal ini: rasa lapar yang berlebihan, rasa lelah yang tidak wajar, dan luka yang lambat sembuh. Penelitian ini dilakukan untuk analisis algoritma Naïve Bayes pada klasifikasi penyakit diabetes untuk mendapatkan hasil optimal dengan akurasi yang ditawarkan dengan cara ini. Dataset diambil dari website Kaggle yang berjumlah 10.000 data dengan jumlah 2 kelas yaitu Diabetes dan Non Diabetes, kelas Diabetes mencakup sebanyak 8.500 data, sementara kelas Non-Diabetes mencakup 91.500 data. Metode yang digunakan yaitu Algoritma Naïve Bayes. Hasil pengujian menunjukkan bahwa Naïve Bayes mencapai tingkat akurasi sebesar 90,66% yang artinya Algoritma Naive Bayes adalah metode yang baik dan tepat untuk mengklasifikasikan penyakit diabetes.
Co-Authors - AMIK BSI Jakarta, Rosliana Agustin Abadi, Muhamad Sahrul Adi Supriyatna Agustina, Bella Andi Saryoko Annisa Fitrianti Arief Rusman Awaludin, Rizky Azizah, Qudsiah Nur Baginda Oloan Lubis Bobby Suryo Prakoso Cahyani Budihartanti, Cahyani Deri Saputra, Deri Devi Wulandari Diah Puspitasari Eni Pudjiarti Erma Delima Sikumbang Fattya Ariani Firda Kharismatus Silpa Ghifari Fatihah Rabbani Hadi Sukmana, Sulaeman Handayani, Tiwi Ikhwan Akbar Indara Bala Dewa Irmawati Carolina Januar Rama Fitra Karlena Indriani Monikka Nur Winnarto Muhammad Hilman Fakhriza Muhammad Hilman Fakriza Mutaqin, Asep Rijal Nathanael, Jonathan Nico Dias Palasara Oka Mahendra Oka Mahendra Prayogi, Randi Prima, Harry Pujiati, Tri Wahyuni Qudsiah Azizah Qudsiah Nur Azizah Retno Sari Retno Sari Retno Sari Ridwansyah Ridwansyah Ridwansyah Ridwansyah Ridwansyah Ridwansyah Rizka Syaleha Rosliana Agustin - AMIK BSI Jakarta Rosyda, Susy Shafa, Muadzi Sucitra Sahara Sundari, Wiwin Susanto Susanto Susanto Susanto Susy Rosyda Susy Rosyida Suwanda Suwanda Syarifudin, Imam Tri Juliyanto Utami, Yuliantika Siswanti Venny Yulianty Verra Sofica Windu Gata Y Yunita Yudi Yudi yunita yunita