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All Journal Jurnal Media Infotama Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL REKAYASA TEKNOLOGI INFORMASI JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Journal of Information Technology and Computer Engineering Jurnal Nasional Komputasi dan Teknologi Informasi JURNAL IT: Media Infromasi STMIK Handayani Makassar JATI (Jurnal Mahasiswa Teknik Informatika) Jifosi Nusantara Science and Technology Proceedings International Journal of Educational Research and Social Sciences (IJERSC) Djtechno: Jurnal Teknologi Informasi JoMMiT : Jurnal Multi Media dan IT JUSTIN (Jurnal Sistem dan Teknologi Informasi) International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Impresi Indonesia Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Manajemen Kreatif dan Inovasi Jurnal Penelitian Sistem Informasi ITIJ Science Information System and Technology AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi

Agussalim, Agussalim

Program Studi Sistem Informasi UPN "Veteran" Jawa Timur

Author-ID : 2293818

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience Social Sciences Transportation Other

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Peningkatan Network Lifetime Menggunakan Cluster Based Pada Wireless Sensor Network muhammad hibrian wiwi; Wardi Wardi; Agussalim Agussalim
JITCE (Journal of Information Technology and Computer Engineering) Vol 4 No 01 (2020): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

This series of research activities are in the form of a routing simulation using the LEACH protocol as a cluster-based mechanism method that can improve Network Lifetime in the Wireless Sensor Network protocol, using the Network Simulator 2 application device that describes data transmission, remaining nodes, and energy used. Determination of the performance and power consumption of the wireless sensor network by testing scenario one to scenario five due to the influence of the cluster to be applied, such as scenario 1 using 1 cluster (C1) consumes an average of the energy of 0.155 joules and the data sent or obtained is 72,848 bytes. Barriers or disruptions to the clusterhead affect the performance of LEACH, so there is a need for criteria or conditions to determine which nodes should be used as clusterhead.

Prototype Sistem Monitoring Volume Bak Sampah Online Berbasis Arduino Nano dan Orange Pi Andi Mappatoba; Ilham Haruna; Agussalim Agussalim
JITCE (Journal of Information Technology and Computer Engineering) Vol 4 No 01 (2020): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

This research aims to develop trash volume monitoring based on Arduino nano and orange pi. This prototype detected trash volume in the trash can, and send the information through the monitoring server via a cellular network in real-time. So that the trash management, in this case, Dinas Kebersihan, could be efficient. In which the trash can located in various places could be easily monitored through the website. The results show, optimum range for the sensor that installed in the trash can is maximal 25 cm, in which for every trash that detected by sensor must be in range of 0 cm between 4.5 cm, where the position of the sensor does not face to face so that the sensor detects more accurately in determining the volume of free space in the trash.

Accuracy of Kidney Disease Expert System Based On Certainty Factor and Dempster Shafer Algorithm Agussalim; Astuti Triana, Nani; Maya Safitri, Eristya; Wulansari, Anita; Fitri Ana Wati, Seftin
IJCONSIST JOURNALS Vol 3 No 2 (2022): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v3i2.66

The information technology developments today resulted in several innovations, including the existence of an Expert System. The systems help diagnose diseases without directly meeting with experts/doctors. Many researchers have proposed algorithms to improve the accuracy of the expert system to approach the diagnosis by experts/doctors, including certainty factor and dempster shader. This study compares the algorithm's accuracy with the results of expert diagnosis of kidney disease. The expert system was developed using UML and a web-based version. From the comparison results, the dempster shaver algorithm has an accuracy rate of 80%, while the certainty factor is 60% compared to expert diagnoses.

LITERATUR REVIEW DETEKSI SERANGAN DDOS MENGGUNAKAN TEKNIK PENDEKATAN DEEP LEARNING Maulidya Firdausy Al Fitri; Ledina Adelia Putri Siregar; Agussalim
Jurnal Informatika dan Sistem Informasi Vol. 3 No. 2 (2022): Jurnal Informatika dan Sistem Informasi (JIFOSI)
Publisher : Fakultas Ilmu Komputer Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifosi.v3i2.525

Serangan Distributed Denial of Service (DDoS) adalah salah satu masalah terbesar yang menyerang ketersediaan jaringan bisnis, aplikasi, dan layanan. Untuk mencegah jenis serangan ini berbagai metode pertahanan telah diusulkan. Salah satu metode yang paling efektif untuk mendeteksi dan mencegah serangan DDoS adalah metode deep learning (DL). Dalam literatur review, peneliti telah mengumpulkan beberapa jurnal penelitian yang relevan yang kemudian dianalisis metode deteksi serangan DDoS menggunakan deep learning, termasuk: 1) model DL yang digunakan; b) Bagaimana cara model tersebut mendeteksi serangan; c) Dataset apa yang digunakan; dan d) Serangan seperti apa saja yang terdeteksi saat menggunakan model tersebut. Peneliti melakukan analisis mendalam mengenai keefektifan metode deep learning untuk mendeteksi serangan DDoS. Penulisan literature review ini memberikan gambaran umum tentang aktivitas penelitian terbaru yang menggunakan model deep learning untuk mendeteksi serangan DDoS menggunakan kumpulan data konvensional dan kontemporer.

The Role Of Forensic Accounting Curriculum In Forensic Audit Rida Perwita Sari; Agussalim Agussalim; Muhamad Mahsun; Rika Puspita Sari
International Journal of Educational Research and Social Sciences (IJERSC) Vol. 3 No. 4 (2022): August 2022
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v3i4.480

The purpose of the study is to identify the gap between the practice requirements and the outputs of the audit education and training center and to identify the contribution of the forensic accounting curriculum in filling the gap. This study uses a quantitative approach. The sample is 124 respondents with professional backgrounds as auditors and accountants educators in Indonesia. The data collection method implemented in this research is the survey method through the distribution of questionnaires and direct interview techniques with the non-participatory observation which aims to find out more details about the case being studied without actively involving the object of study. Furthermore, this study explores the best possible strategies in shaping learning outcomes that are competent and ready to practice as auditors based on various previous studies and contributes to auditing education and training centers and universities by providing material for consideration in the preparation of strategic plans and learning programs. This study can also contribute to prospective auditors who are considering alternative audit training curricula by providing various competency recommendations for the needs of current auditing practices.

Perancangan UI/UX Aplikasi PetPat Berbasis Mobile Menggunakan Metode LeanUX Divane Infonya Safinatunnajah; Sesilia Tiara Rahayu Ada; Agussalim Agussalim
JoMMiT Vol 6, No 2 (2022)
Publisher : Politeknik Negeri Media Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46961/jommit.v6i2.650

Literature Review Penerapan Data Visualization pada Perusahaan Intan Jauharul Makhnun; Agussalim Agussalim
Jurnal Impresi Indonesia Vol. 2 No. 2 (2023): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v2i2.2156

Tujuan: maka tujuan utama dalam penulisan artikel ini adalah memberikan gambaran umum tentang aktivitas penelitian terbaru yang menggunakan data visualisasi dalam sebuah perusahaan. Metode: Peneliti mengikuti proses systematic literature review (SLR) untuk membangun tinjauan komprehensif Systematic Literature Review (SLR) didefinisikan sebagai proses mengidentifikasi, menilai dan menafsirkan semua bukti penelitian yang tersedia dengan tujuan untuk menyediakan jawaban untuk pertanyaan penelitian secara spesifik. Untuk mengidentifikasi upaya penelitian yang terkait dengan studi yang diusulkan, peneliti mengadopsi dari lima artikel terindeks scopus Q3. Hasil: Berdasarkan wawancara dengan pemasar, mereka membutuhkan banyak waktu untuk membaca informasi dari data media sosial hingga membuat strategi pemasaran konten. Ini terjadi karena bentuk data yang tidak sesuai visualisasi, sehingga data harus dianalisis kembali untuk mendapatkan yang diinginkan informasi. Kesimpulan: Back end adalah bagian untuk administrator agar bisa mengelola sebuah data perusahaan, front end untuk pengguna, dan layanan web sebagai penghubung antara back end dan front end. Salah satu aplikasi yang dapat digunakan adalah tableau

Implementation of the Quizizz Application for Learning Media in Nurul Islam Kindergarten Rungkut Asri Timur Surabaya Based on Gamification Ani Dijah Rahajoe; Agussalim; Hendra Maulana
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3376

The Covid-19 pandemic forces us to continue to innovate and adapt to continue to carry out activities as before the pandemic. This digital adaptation or transformation needs to be done to minimize direct human contact. The educational institution, which is the meeting place for students, and teachers, makes the location quite vulnerable to the spread of Covid19. Educational institutions and university organizers are also encouraged to conduct online learning. Online learning media that can use include Quizizz and Kahoot. Quizizz and Kahoot are used to design quizzes, tests, polls, surveys, or diagnostic tests that can be separated from the primary teaching and learning process or are supplementary. This learning is applied to the teachers of TK Nurul Islam Rungkut Asri Timur Surabaya. During the two days of training, the teachers showed enthusiasm during the training. The methods applied are discussion, demonstration, and hands-on practice. Six kindergarten teachers and two lecturers from UPN “Veteran” Jawa Timur attended this training. The training results show that the method can align the learning media through Quizziz Kahoot with the gamification method for students. The results are indicated by the material presented, including pictures adapted to the student's age. The training results also show that participants can directly practice learning materials for their students, and their students can participate more actively in the gamification process. The feedback showed that all teacher participants stated that learning in Nurul Islam Kindergarten was appropriate, and 83% stated it was easy to implement.

Analisis Model Peramalan Harga Minyak Mentah (Crude Oil) Menggunakan Weighted Moving Average Prisa Marga Kusumantara; Daris Irfan Putrawanto; Siti Mukaromah; Agussalim Agussalim
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 6, No 3 (2023): Juni 2023
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v6i3.6341

Abstrak - Konflik antara Rusia dan Ukraina menyebabkan gangguan pada pasokan energi yang berujung harga energi global semakin meningkat. Saat ini, terdapat dua harga minyak mentah (crude oil) dunia yang menjadi acuan, yaitu Brent dan WTI (West Texas Intermediate). Sejak awal 2022, tercatat bahwasannya harga minyak mentah dunia pernah melonjak sampai di atas 100 USD/Bbl dan dalam perkembang selanjutnya akan terus mengalami fluktuasi harga. Beberapa pendekatan untuk meramalkan dan memprediksi sebuah harga dapat dilakukan, salah satunya menggunakan metode WMA (Weighted Moving Average), dimana memiliki keunggulan dalam hal pemberian bobot yang bervariasi terhadap periode waktu (data training) berjalan. Atas dasar isu diatas maka dalam penelitian ini dilakukan analisis model peramalan terhadap harga minyak mentah dunia menggunakan WMA. Hasil penelitian menunjukkan bahwa : 1) Dari 8 varian periode data training, hasil terbaiknya adalah jika menggunakan 7 periode data training dengan nilai MAD (Mean Absolute Deviation) sebesar 1,110 , 2) Hasil tracking signal berada dalam rentang -4 sampai +4 sehingga model peramalan ini dapat dinyatakan layak diimplementasikan, 3) Hasil peramalan harga minyak mentah dunia di periode mendatang (per-1 juni 2023) untuk Brent adalah 75,110 USD/Bbl dan untuk WTI adalah 70,980 USD/Bbl.Kata kunci: peramalan, prediksi, minyak mentah, weighted moving average Abstract - Russia and Ukraine conflict caused energy supply disruption resulted in global energy price increases. Currently, there are two world crude oil prices used as reference, Brent and WTI (West Texas Intermediate). It was noted, from early 2022, world crude oil prices had soared above 100 USD/Bbl, and subsequent developments will continue to experience price fluctuations. Several approaches are used to predict prices, one is the WMA (Weighted Moving Average) method, which is excellent in giving varying weights to the running period (data training). Based on the above issues, in this study, world crude oil prices forecasting model analysis was carried out using WMA. The results showed that: 1) Of the 8 variants of data training periods, the best results are using 7 training data periods with a MAD (Mean Absolute Deviation) value of 1,110, 2) The tracking signal resulted from -4 to +4 in range prove that it is feasible to implement this model, 3) forecasted world crude oil prices for the upcoming period (as of June 1, 2023) are 75,110 USD/Bbl for Brent and 70,980 USD/Bbl for WTIKeywords: forecasting, prediction, crude oil, weighted moving average

Rancang Bangun Back-end API pada Aplikasi Mobile AyamHub Menggunakan Framework Node JS Express Eli Nurhayati; Agussalim Agussalim
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 11, No 3 (2023)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v11i3.66823

Back-end adalah bagian aplikasi yang beroperasi di sisi server dan bertanggung jawab dalam interaksi dengan database dan logika fungsional sebuah program. Back-end berkomunikasi dengan client melalui sebuah antarmuka Application Programming Interface (API). Salah satu arsitektur back-end yang paling populer yaitu Representational State Transfer (REST) dimana interaksi yang dilakukan menggunakan pola request-response. AyamHub adalah sebuah aplikasi mobile inovatif yang berfungsi sebagai penghubung antara peternakan dan UMKM/penjual ayam broiler di Indonesia. Dalam proses pengembangannya, AyamHub membutuhkan sebuah back-end yang akan menjadi fondasi sistem kedepannya. Untuk itu, peneliti mencoba melakukan perancangan arsitektur back-end untuk aplikasi mobile AyamHub menggunakan arsitektur REST dan framework Node.js Express. Pemilihan Node.js sebagai platform pengembangan didasarkan pada kelebihan yang dimiliki, terutama pada portabilitas dan teknik non-blocking yang memungkinkan sistem bekerja secara simultan tanpa harus menunggu penyelesaian operasi sebelumnya. Adapun pengembangan dilakukan dengan menggunakan metode waterfall dimana implementasi sistem dibuat dengan menggunakan layanan Google Cloud Platform (GCP) seperti App Engine, Cloud SQL, dan Cloud Storage. Setelah dilakukan pengujian menggunakan black box testing, diperoleh hasil bahwa keseluruhan API yang telah dibuat telah berhasil dan berjalan sesuai dengan harapan. Selain itu, dalam setiap tahap pengembangan back-end, penulis selalu berkoordinasi dengan mobile developer AyamHub untuk memastikan consume API berjalan lancar dan endpoint yang dibuat selarasÂ dengan setiap kebutuhan fiturnya.

Co-Authors -, Mardewi Abdul Rezha Efrat Najaf Adelia Putri, Ledina Adian Riswandha Agung Brastama Putra Aisha Ramadhana Indira Santoso Ajrina, Navy Nurlyn Amalia Andjani Arifiyanti Amalia Ristias, Arsya Andi Mappatoba Ani Dijah Rahajoe Ani Dijah Rahajoe Ani Dijah Rahajoe Arisha, Zanifah Asiyanti, Adinda Priski Dhea Astuti Triana, Nani Aulia Apriliani Aulia Gandini Brastama Putra, Agung Catur Arpal Perkasa Daris Irfan Putrawanto Dhian Satria Yudha Kartika Dhian Satria Yudha Kartika Divane Infonya Safinatunnajah Eka Mayasari Eli Nurhayati elisabet Fahmi, Ardan Febrianti, Ganes Dwi Firdaus, Renanda Auzan Fitri Ana Wati, Seftin Gading Indra Swari Hafshoh, Fadiyah Aulia Hazriani, Hazriani Ilham Haruna Intan Jauharul Makhnun Irfan Ramadhan Irwan Afandi, Mohamad Larasati Pingkan Cahya Hernita Ledina Adelia Putri Siregar Maulana, Hendra Maulidya Firdausy Al Fitri Maya Safitri, Eristya Muh. Ahlun Nazar Muhamad Mahsun Muhammad Hibrian Wiwi Muliadi . Pratama, Arista Prisa Marga Kusumantara Rahma, Shakila Aulia Reza Fatahillah, Muhammad Rida Perwita Sari Rika Puspita Sari Rizka Hadiwiyanti Rizki Akbar, Rizki Sahlan Amin, Mochamad Sesilia Tiara Rahayu Ada Simanjorang, Veby Pebiola Br Supriadi Sahibu Syafruddin Syarif Wahyu Wicaksono WAHYUNI SUSILOWATI Wahyuni, Eka Dyar Wardi Wardi Wulansari, Anita Zulfajri Basri Hasanuddin

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