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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Sistemasi: Jurnal Sistem Informasi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pendidikan UNIGA Jurnal Ilmiah Universitas Batanghari Jambi INOVTEK Polbeng - Seri Informatika IJIS - Indonesian Journal On Information System ILKOM Jurnal Ilmiah INTECOMS: Journal of Information Technology and Computer Science Jiko (Jurnal Informatika dan komputer) IJISTECH (International Journal Of Information System & Technology) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) METIK JURNAL Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Manajemen Informatika dan Sistem Informasi Journal of Information Systems and Informatics JATI (Jurnal Mahasiswa Teknik Informatika) PRAJA: Jurnal Ilmiah Pemerintahan Indonesian Journal of Electrical Engineering and Computer Science Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik Jurnal Teknimedia: Teknologi Informasi dan Multimedia JiTEKH (Jurnal Ilmiah Teknologi Harapan) Journal of Electrical Engineering and Computer (JEECOM) IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Buletin Poltanesa International Research on Big-data and Computer Technology (IRobot) Bulletin of Computer Science Research Journal of Applied Sciences, Management and Engineering Technology (JASMET) Journal of Information Technology (JIfoTech) Jurnal Teknik Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) JAIA - Journal of Artificial Intelligence and Applications Nusantara of Engineering (NOE) Jurnal Bangkit Indonesia Jikom: Jurnal Informatika dan Komputer Journal of Informatics, Electrical and Electronics Engineering SmartComp Jurnal Informatika Polinema (JIP) Intechno Journal : Information Technology Journal Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Alva Hendi Muhammad
Universitas Amikom Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering 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 Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Design of Cybersecurity Maturity Assessment Framework Using NIST CSF v1.1 and CIS Controls v8 Irawan, Hafizhan; Muhammad, Alva Hendi; Nasiri, Asro
Jurnal Inovtek Polbeng Seri Informatika Vol 9, No 1 (2024)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v9i1.3973

Abstract

Cybersecurity threats are constantly evolving, making it crucial for organizations to maintain a robust and maturing cybersecurity posture. According to the 2022 Annual Report of the Honeynet Project of the National Cyber and Crypto Agency (BSSN), there were 370,022,283 cyber attacks against Indonesia.  One of the strategies that can be implemented is to conduct a cybersecurity maturity assessment to determine the organization's current level of cybersecurity implementation. This paper proposes a design for a cybersecurity maturity assessment framework leveraging two established standards: the National Institute of Standards and Technology (NIST) Cybersecurity Framework (CSF) v1.1 and the Center for Internet Security (CIS) Controls v8. The proposed framework utilizes a mapping between the NIST CSF v.1.1 subcategories and the CIS Controls v8 subcontrols, enabling a comprehensive assessment of an organization's cybersecurity maturity. The assessment methodology focuses on evaluating the implementation and effectiveness of controls aligned with each NIST CSF function. This approach allows organizations to identify strengths and weaknesses in their cybersecurity posture and prioritize areas for improvement. This research developed a mapping between the NIST CSF framework and CIS Controls v8. The mapping aligns 23 integrated cybersecurity categories from NIST CSF (including 64 subcategories out of a possible 108) with 124 subcontrols from CIS Controls v8 (out of a total 153). This combined framework serves as a tool to help organizations improve their cybersecurity maturity and capabilities.
Detection of Palm Fruit Maturity Using Convolutional Neural Network Method kurniawan, Ade Kurniawan; Andi Sunyoto; Alva Hendi Muhammad
JAIA - Journal of Artificial Intelligence and Applications Vol. 2 No. 2 (2022): JAIA - Journal of Artificial Intelligence and Applications
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/jaia.v2i2.859

Abstract

Palm oil has an important role as a source of foreign exchange in the economy in Indonesia. Oil palm is one of the vegetable oil-producing plants that has the highest economic value compared to other crops such as soybeans, olives, coconuts or sunflowers. Palm oil quality is also influenced by water content, dirt content, free fatty acid content and the level of maturity of the palm fruit. Maturity of palm fruit is a very important factor in determining the quality of crude oil produced by palm fruit. In determining the maturity of oil palm, sorting is necessary to get quality palm fruit with the appropriate level of maturity. The use of image processing technology (ImageProcessing) can facilitate the process of analyzing objects. Meanwhile, the implementation of deep learning using the Convolutional Neural Network method can help identify the maturity level of oil palm fruit with a high level of accuracy. The results showed a very good effectiveness with an accuracy reaching 99% and a precision level reaching 99.8%.
Efficiency Development Analysis Use of Automation Testing using Katalon on Mobile-Based Applications (Case Insurance Company) Anggrainy, Shynta Eza; Muhammad, Alva Hendi
IJISTECH (International Journal of Information System and Technology) Vol 8, No 1 (2024): The June edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i1.347

Abstract

The use of automation in mobile application testing has become an important tool in improving the efficiency and quality of applications. Katalon Studio, as one of the automated testing tools, offers convenience for testers in conducting automated testing without having to master any programming language. This tool allows continuous testing to maximize the potential of features and applications as a whole. Katalon Studio also allows the addition of an alert feature on failed scenarios, so that the relevant team will be notified if a failure occurs when the script is run. In addition, the use of automated testing tools such as Katalon Studio can speed up the testing process and increase efficiency. In the context of mobile-based applications, automated testing is very important to ensure the quality of the user experience (usability). By conducting automated testing, the app design and development team can be aware of issues that may arise and fix them immediately. Overall, the use of Katalon Studio in automated testing of mobile applications can help improve the efficiency of the testing process and application quality, as well as maximize the potential of application features.
Cluster Analysis for Performance Evaluation of Outsourcing Engineers in the Telecommunication Industry Hasibuan, M. Rivai; Kusrini, K; Muhammad, Alva Hendi
IJISTECH (International Journal of Information System and Technology) Vol 7, No 1 (2023): The June edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i1.301

Abstract

The telecommunications industry relies significantly on the knowledge and contributions of engineers, who play a crucial role in designing, enhancing, and supervising diverse communication infrastructure systems. As engineers gain experience, they frequently advance to supervisory or consulting positions in which they provide expert guidance. Many businesses have delegated their recruitment processes to contract workers to optimize operational costs and boost productivity. It is essential to evaluate the performance of outsourced employees in order to determine the value they add to the organization. Performance evaluations play a vital role in evaluating factors such as attendance, skill level, burden management, and job performance. These evaluations aid in contract renewal decision-making. Various metrics emphasizing factors such as effective skills, well-defined objectives, and regular status updates can be used to determine the success of outsourced employees. This permits a comprehensive evaluation and the identification of improvement areas. In this paper, the investigation concentrates on using cluster analysis techniques, specifically partition-based algorithms such as K-means, to classify outsourced workers according to their individual skills and characteristics. Then, we compare the provided insights with the density-based algorithm DBSCAN to comprehend them. Cluster analysis is a potent method for analyzing large datasets, allowing for swift and confident conclusions. By utilizing cluster analysis, organizations can gain insight into the diverse skill sets and characteristics of their outsourced workforce, thereby improving resource allocation, task assignment, and management as a whole
Perbandingan Additive dan Multiplicative Exponential Smoothing Terhadap Prakiraan Kualitas Udara di Banjarmasin Yusuf, Ahmad; Kusrini, Kusrini; Muhammad, Alva Hendi
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 6 No. 1 (2022)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v6i1.507

Abstract

Human health concerns are one of the important consequences of low air quality. The low air quality of each city will have long-term impacts such as global warming and anthropogenic greenhouse effects. Air quality usually occurs in areas that are in some parts of the country such as Kalimantan Island. As the third largest island in the world, Kalimantan can be said to be the lungs of the world like the haze problem that enveloped the city of Banjarmasin in 2019. This condition can result in high sufferers of Acute Respiratory Tract Infection (ISPA). Decision making by stakeholders needs to be studied in depth to prevent this. One of the efforts that can be done is the air quality forecast that will occur. Data obtained from BMKG Banjarmasin is the initial material for the forecast. Air quality forecast will use Triple Exponential Smoothing with 2 types of modeling namely additive and multiplicative, so this study aims to conduct air quality forecasts in Banjarmasin City in 2021 and 2022 using Additive and Multiplicative Triple Exponential Smoothing. In forecasts using this method, weighting the constant values α, β, γ can result in small error values. To determine the accuracy comparison of the two modeling is done with an RMSE value. The results showed that air quality conditions in Banjarmasin during 2021 and 2022 for CO, O3, and PM pollutants were in the category of safe for human health, while for pollutants NO2 and SO2 were declared to have a high index so that air quality can harm the health of living things. In comparison, multiplicative modeling on CO forecasts (α= 0.5, β = 0.001, and γ = 0.149), NO2 (α = 0.5, β = 0.024, and γ = 0.022), and SO2 (α = 0.5, β = 0.001, and γ = 0.037) has high accuracy and small error values compared to additive modeling. In contrast, additive modeling in O3 (α = 0.5, β = 0.001, and γ = 0.06) and PM (α = 0.434, β = 0.001, and γ = 0.213) have high accuracy and low error values compared to multiplicative modeling. The conclusion obtained is the difference in forecast results between additive and multiplicative modeling on air quality forecasts in Banjarmasin because multiplicative modeling is used when there is a trend or sign that seasonal patterns depend on the size of the data. In other words, seasonal patterns enlarge as the data size increases. Additive models are used if this trend does not occur.
Cluster Analysis for Performance Evaluation of Outsourcing Engineers in the Telecommunication Industry Hasibuan, M. Rivai; Kusrini, K; Muhammad, Alva Hendi
IJISTECH (International Journal of Information System and Technology) Vol 7, No 1 (2023): The June edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v7i1.301

Abstract

The telecommunications industry relies significantly on the knowledge and contributions of engineers, who play a crucial role in designing, enhancing, and supervising diverse communication infrastructure systems. As engineers gain experience, they frequently advance to supervisory or consulting positions in which they provide expert guidance. Many businesses have delegated their recruitment processes to contract workers to optimize operational costs and boost productivity. It is essential to evaluate the performance of outsourced employees in order to determine the value they add to the organization. Performance evaluations play a vital role in evaluating factors such as attendance, skill level, burden management, and job performance. These evaluations aid in contract renewal decision-making. Various metrics emphasizing factors such as effective skills, well-defined objectives, and regular status updates can be used to determine the success of outsourced employees. This permits a comprehensive evaluation and the identification of improvement areas. In this paper, the investigation concentrates on using cluster analysis techniques, specifically partition-based algorithms such as K-means, to classify outsourced workers according to their individual skills and characteristics. Then, we compare the provided insights with the density-based algorithm DBSCAN to comprehend them. Cluster analysis is a potent method for analyzing large datasets, allowing for swift and confident conclusions. By utilizing cluster analysis, organizations can gain insight into the diverse skill sets and characteristics of their outsourced workforce, thereby improving resource allocation, task assignment, and management as a whole
Efficiency Development Analysis Use of Automation Testing using Katalon on Mobile-Based Applications (Case Insurance Company) Anggrainy, Shynta Eza; Muhammad, Alva Hendi
IJISTECH (International Journal of Information System and Technology) Vol 8, No 1 (2024): The June edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i1.347

Abstract

The use of automation in mobile application testing has become an important tool in improving the efficiency and quality of applications. Katalon Studio, as one of the automated testing tools, offers convenience for testers in conducting automated testing without having to master any programming language. This tool allows continuous testing to maximize the potential of features and applications as a whole. Katalon Studio also allows the addition of an alert feature on failed scenarios, so that the relevant team will be notified if a failure occurs when the script is run. In addition, the use of automated testing tools such as Katalon Studio can speed up the testing process and increase efficiency. In the context of mobile-based applications, automated testing is very important to ensure the quality of the user experience (usability). By conducting automated testing, the app design and development team can be aware of issues that may arise and fix them immediately. Overall, the use of Katalon Studio in automated testing of mobile applications can help improve the efficiency of the testing process and application quality, as well as maximize the potential of application features.
Perancangan Model Manajemen (Tata Kelola) Data Menggunakan Domain APO14 COBIT 2019 Prasetya, Rendra; Alva Hendi Muhammad; Asro Nasiri
Jurnal Informatika Polinema Vol. 10 No. 3 (2024): Vol. 10 No. 3 (2024)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v10i3.5135

Abstract

Manajemen data memainkan peran krusial dalam operasional organisasi, pentingnya manajemen (tata kelola) data yang tepat untuk mendukung operasional dan pengambilan keputusan yang cermat. COBIT 2019, terutama melalui domain APO14, memberikan kerangka kerja penting bagi organisasi dalam mengoptimalkan manajemen data mereka. Penelitian ini bertujuan untuk menganalisis penerapan COBIT 2019 dalam meningkatkan tata kelola di organisasi, dengan fokus pada Fakultas Syariah di IAIN Ponorogo sebagai studi kasus. Manajemen data yang baik tidak hanya mempengaruhi operasional internal organisasi tetapi juga dampaknya pada keputusan strategis, inovasi, dan daya saing di pasar. Pentingnya tata kelola data yang tepat tercermin dalam praktik seperti perencanaan, pengorganisasian, penyimpanan, dan pemanfaatan data secara cermat. Namun, masih ada tantangan dalam mengintegrasikan secara holistik di berbagai unit dalam organisasi, seperti yang terjadi di Fakultas Syariah IAIN Ponorogo. Dengan pencapaian nilai capability level tata kelola data sebesar 3,14 menurut domain APO14 COBIT 2019, Fakultas Syariah telah mencapai tingkat memadai dalam pengelolaan data. Meski demikian, terdapat kebutuhan untuk meningkatkan aspek-aspek tertentu dalam subdomain seperti APO14.02, APO14.03, APO14.04, APO14.06, APO14.07, APO14.08, APO14.09, dan APO14.10. Penelitian ini berkontribusi pada pemahaman dan pengembangan COBIT 2019, khususnya domain APO14 dalam konteks manajemen data, dan memberikan pandangan yang jelas serta rekomendasi praktis dalam meningkatkan tata kelola data organisasi.
PENGUKURAN USER EXPERIENCE PENGGUNAAN KRAPYAK-U MENGGUNAKAN FRAMEWORK USER EXPERIENCE QUESTIONAIRE PLUS Aditama, Galih; Soedijono, Bambang; Muhammad, Alva Hendi
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 7 No. 2 (2023): JATI Vol. 7 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v7i2.6725

Abstract

Krapyak-U merupakan aplikasi yang diproduksi oleh PT Solusi Infotech Semesta Indonesia (SIESTA) aplikasi ini dikembangkan untuk menjadi pusat pelayanan yang dimiliki oleh Yayasan Ali Maksum Pondok Pesantren krapyak. Menurut hasil dari pengamatan awal yang dilakukan, masih banyak terdapat bebrapa kendala yang dialami oleh pengguna aplikasi. Dengan adanya permasalahan, peneliti akan melakukan penelitian tentang User Experience (UX) aplikasi Krapyak-U. Proses Evaluasi UX dibuat berdasarkan framework User Experience Questionnaire Plus (UEQ+) yang nantinya akan menganalisis bagaimana respon yang didapat dari pengguna aplikasi Krapyak-U. Skala yang digunakan pada kuesiner tersebut adalah tingkat efisiensi, tingkat.kejelasan, tingkat.keandalan, tingkat.kepercayaan, tingkat kegunaan, penggunaan secara intuitif, tingkat kualitas.konten dan tingkat kejelasan.tampilan. Data yang didapat dianalisis menggunakan UEQ Data Analysis Tools yang berguna untuk mengukur kepuasan pelanggan dan menyajikan hasil dari analisis data dalam bentuk grafis yang akan mempermudah dalam memberikan rekomendasi tindakan yang akan dilakukan. Hasil yang didapat dari 55 respoonden pengguna aplikasi Krapyak-U yang merupakan guru, wali santri, dan mahasiswa menunjukkan hasil yang baik pada beberapa aspek skala yang diajakukan. Namun pada skala kemudahan masih mendapat rata-rata 0,82 dan pada skala kualitas konten yang hanya mendapat rata rata di bawah standar dari development.
Analisis Sentimen Berita terhadap Bitcoin dengan Metode Klasifikasi K-Nearest Neighbor Hari Susanto; Arief Setyanto; Alva Hendi Muhammad
JEKIN - Jurnal Teknik Informatika Vol. 4 No. 2 (2024)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Globalisasi telah mempengaruhi berbagai aspek kehidupan, terutama dalam kemajuan teknologi informasi dan cryptocurrency sebagai inovasi dalam teknologi finansial. Cryptocurrency seperti Bitcoin berfungsi sebagai media pertukaran dan penyimpan nilai, meski belum diakui sebagai alat pembayaran sah. Pasar cryptocurrency berkembang pesat, dengan lebih dari 10.000 aset crypto beredar di seluruh dunia. Jumlah pengguna meningkat signifikan dari 18 juta pada 2017 menjadi 516 juta pada 2023. Bitcoin mendominasi dengan pangsa pasar 60,14%, menegaskan posisinya sebagai pionir dan mencerminkan minat tinggi dari investor serta masyarakat. Penelitian ini juga mengkaji pergerakan harga Bitcoin melalui analisis sentimen menggunakan metode klasifikasi k-nearest neighbor (KNN). Hasil penelitian ini memberikan wawasan mendalam mengenai dinamika pasar mata uang kripto. Metode KNN mencapai rata-rata akurasi 74,40%, menunjukkan efektivitas pengklasifikasian menggunakan metode ini.
Co-Authors Abdul Latif Adhien Kenya Estetikha Aditama, Galih Agung Harimurti, Agung Agus Purwanto Ahmad Yusuf Alif Syaiful Huda Ananda Fikri Akbar Andi Sunyoto Anggit Dwi Hartanto Anggrainy, Shynta Eza Annisa Hestiningtyas Apriadi, Frans Nilwan Arief Rahman Hakim Arief Setyanto Arif Baktiar Ariningsih, Puji Arta Perdana, Bagus Gede Asro Nasiri Asro Nasiri A’yuni, Ashlih Qurota Baiq Yulia Fitriyani Bambang Soedijono Bambang Soedijono W.A Bambang Soedijono W.A Bambang Soedijono, Bambang Bernadhed, Bernadhed Budi, Ilham Setya Candra Aditya Pinuyut Chaedar Fatach, Muhamad Reza Cynthia Widodo Danu Prawira Utama Dhani Ariatmanto DHANI ARIATMANTO Diamanta, David Eka Sakti, Putra Utama Eko Pramono Ema Utami Fauzi, Moch Farid Fitriyani, Baiq Yulia Hadiwinata, Sofian Dwi Harahap, Muhammad Sya'ban Hari Susanto Haris, Ruby Hasan, Nurul Rahmawati Hasibuan, M. Rivai Hewen, Maria Beliti Irawan, Hafizhan Irawan, Ridwan Dwi Irwan Oyong Jangkung Tri Nygroho Jeki Kuswanto Joko Dwi Santoso kurniawan, Ade Kurniawan Kusnawi Kusnawi Kusrini Kusrini Kusrini Kusrini Kusrini, K Kusrini, Kusrini Lubna Lubna Maradona, Maradona Muh Adha Muhamad Rodi Muhammad Hanafi Muhammad Imam Munandar Muhartini, Sitti Muktafin, Elik Hari Nadya Chitayae Nasiri, Asro Novel Adil Dwijaksana Nugroho, Hanantyo Sri Nur Aziz Nugroho Prasetya, Bismar Rifki wahyu Prasetya, Rendra Prima Giri Pamungkas Putra Utama Eka Sakti Raynold, Raynold Razaq, Thata Authar Rifqi Anugrah Rosady, Melinne Maldini Saputra, Mahmuda Simanjuntak, Nurcahaya Suparyati Suparyati Suseno, Hari Budhi Taryoko Taryoko TONNY HIDAYAT Ula, M. Izul Wahyunia Ningsih Syam Wiwi Widayani, Wiwi Yossy Ariyanto Zakiri, Hasani Zitnaa Dhiaaul Kusnaa Washilatul Arba'ah Zitnaa Dhiaaul KWA Zubaedi, Umam Faqih