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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Cendikia Jurnal Teknologi Komputer dan Sistem Informasi Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal Publika Pengabdian Masyarakat RISTEC : Research in Information Systems and Technology JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Hendro Pramono, Doni Eko
Universitas Mitra Indonesia
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Menentukan Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Akademik Menggunakan Metode Algoritma K-Means Nanda, Adi Prasetia; Pramono, Doni Eko Hendro; Hartati, Sri
Explore:Jurnal Sistem informasi dan telematika(Telekomunikasi, Multimedia dan Informatika) Vol 11, No 1 (2020): Juni
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (637.421 KB) | DOI: 10.36448/jsit.v11i1.1455

Abstract

Perbandingan antara metode algoritma C4.5 dengan metode algoritma K-Means yang diteliti oleh peneliti untuk menentukan tingkat kepuasan mahasiswa terhadap pelayanan akademik pada STMIK Pringsewu. Kriteria yang digunakan dalam menilai tingkat kepuasan ada lima kriteria diantara, adalah tangible, reability, assurance, responsiveness, dan empathy. Pada STMIK Pringsewu, kriteria-kriteria tersebut belum terukur dengan pasti oleh karena itu pihak STMIK Pringsewu masih merasa kurang tepat dalam menentukan kriteria mana yang harus ditingkatkan kualitasnya. Menggunakan metode algoritma K-Means penulis mencoba untuk mengukur kelima kriteria tersebut, sehingga terbentuklah sebuah hasil dari kelima kriteria tersebut. Setelah dilakukan perhitungan secara manual, maka dilakukan pula pembuktian menggunakan uji validasi sensitivitas, dan spesifisitas. Setelah dilakukannya perhitungan menggunakan metode algoritma K-Means dan dibuktikan dengan menggunakan uji validasi sensitivitas, dan spesifisitas. Maka didapatkan nilai Uji sensitivitas metode algoritma K-Means dapat mengklarifikasikan kepuasan mahasiswa dengan variable tangible 77,00 %, Reliability 78,83 %, Responsiveness 86,49 %, Assurance 70,07 %, dan Empathy 79,19 %. Sedangkan, uji spesifisitas metode algoritma K-Means dapat 99 mengklarifikasikan tidak puasnya mahasiswa dengan variable tangible 21,35 %, Reliability 21,80 %, Responsiveness 23,72 %, Assurance 19,61 %, dan Empathy 21,89 %
Application of Customer Relationship Management Method On E-Commerce (Case Study : PT Beesge Andalas Perkasa) Doni Eko Hendro Pramono; Fathurrahman Kurniawan Ikhsan
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 3, No 3 (2020): JTKSI
Publisher : JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)

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

Abstract

The data processing process related to sales data and the availability of goods currently running still uses conventional recording, namely the absence of a system that can process data automatically to speed up the Customer Relations Management processing process. (CRM) is a method used to simplify the process of communication between consumers and companies in order to create a sense of comfort in consumers towards the company. One proof of the need for a system desired by the owner of PT Beesge Andalas Perkasa is wanting a system that helps promote and introduce his business and also increase sales without even having to cost a lot in the advertising process. The purpose of this study is to help improve the strategy and loyalty of customers and increase the sales power of PT Beesge Andalas Perkasa
Menentukan Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Akademik Menggunakan Metode Algoritma K-Means Adi Prasetia Nanda; Doni Eko Hendro Pramono; Sri Hartati
Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Vol 11, No 1 (2020): Juni
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (637.421 KB) | DOI: 10.36448/jsit.v11i1.1455

Abstract

Perbandingan antara metode algoritma C4.5 dengan metode algoritma K-Means yang diteliti oleh peneliti untuk menentukan tingkat kepuasan mahasiswa terhadap pelayanan akademik pada STMIK Pringsewu. Kriteria yang digunakan dalam menilai tingkat kepuasan ada lima kriteria diantara, adalah tangible, reability, assurance, responsiveness, dan empathy. Pada STMIK Pringsewu, kriteria-kriteria tersebut belum terukur dengan pasti oleh karena itu pihak STMIK Pringsewu masih merasa kurang tepat dalam menentukan kriteria mana yang harus ditingkatkan kualitasnya. Menggunakan metode algoritma K-Means penulis mencoba untuk mengukur kelima kriteria tersebut, sehingga terbentuklah sebuah hasil dari kelima kriteria tersebut. Setelah dilakukan perhitungan secara manual, maka dilakukan pula pembuktian menggunakan uji validasi sensitivitas, dan spesifisitas. Setelah dilakukannya perhitungan menggunakan metode algoritma K-Means dan dibuktikan dengan menggunakan uji validasi sensitivitas, dan spesifisitas. Maka didapatkan nilai Uji sensitivitas metode algoritma K-Means dapat mengklarifikasikan kepuasan mahasiswa dengan variable tangible 77,00 %, Reliability 78,83 %, Responsiveness 86,49 %, Assurance 70,07 %, dan Empathy 79,19 %. Sedangkan, uji spesifisitas metode algoritma K-Means dapat 99 mengklarifikasikan tidak puasnya mahasiswa dengan variable tangible 21,35 %, Reliability 21,80 %, Responsiveness 23,72 %, Assurance 19,61 %, dan Empathy 21,89 %
Pemodelan Enterprise Architecture Untuk Menentukan Sistem Informasi Di Perguruan Tinggi Menggunakan Metode EAP Hendro Pramono, Doni Eko; Ikhsan, Fathurrahman Kurniawan
Jurnal Cendikia Vol 19 No 1 (2020)
Publisher : LPPM ITBA Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (906.041 KB)

Abstract

Mengembangkan sistem informasi memerlukan rencana untuk melengkapi arah strategi Perguruan Tinggi. Perencanaan dibangun dengan mendefinisikan arsitektur data, aplikasi dan teknologi dalam penggunaan informasi untuk mendukung business process, selanjutnya perancangan arsitektur untuk mengidentifikasi kebutuhan yang dibuat skema arsitektur serta rencana untuk implementasinya. Hasil kegiatan perencanaan arsitektur enterprise berupa cetak biru sisfo (sistem informasi) untuk data, aplikasi dan teknologi. Cetak biru sisfo (sistem informasi) berguna sebagai landasan bagi pengembangan sistem informasi secara keseluruhan yang lebih baik dalam business process perguruan tinggi.
Leveraging Artificial Intelligence to Combat Corruption: Innovative Solutions for Transparent Governance Hartanto, Budi; Ikhwan, Ahmad; Eko Hendro Pramono, Doni; Sukri, Hamdan; Fitria Purnomo, Rosyana
RISTEC : Research in Information Systems and Technology Vol. 5 No. 2 (2024): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Abstract: Corruption is one of the major problems that harms both the country and society, with far-reaching impacts on the economy and social stability. To combat corrupt practices, Artificial Intelligence (AI) has emerged as a promising tool for detecting and preventing corruption. This article aims to explore how AI can be applied in this context by identifying its potential, challenges, and solutions that can be provided.In terms of detection, AI can analyze large datasets collected from various sources, such as financial transactions, procurement reports, and interactions between government officials. Machine learning algorithms can be used to identify suspicious or unusual patterns that may indicate corrupt practices. Additionally, AI can also be applied in prevention, such as developing automated surveillance systems that provide early warnings of potential irregularities.However, the use of AI in the fight against corruption faces challenges, including issues related to data security, algorithmic bias, and the need for clear regulations. This article concludes that, despite these challenges, AI holds significant potential in strengthening anti-corruption efforts, particularly when combined with appropriate policies. The implementation of AI can be a strategic step in creating more transparent and accountable governance.
Analysis of Information System Security in the Context of Cyber Attacks on Business Organizations Marliana, Iin; Eko Hendro Pramono, Doni; Yuniarthe, Yodhi; Dwi Yunita, Hilda; Zuhri, Khozainuz
RISTEC : Research in Information Systems and Technology Vol. 5 No. 2 (2024): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Cyberattacks have become a significant threat to business organizations in the digital era. This study aims to analyze the security of information systems in mitigating cyber threats targeting businesses. The research employs a systematic literature review method to explore various cyberattack techniques, identify vulnerabilities in information systems, and propose effective prevention and mitigation strategies. Findings indicate that cyberattacks are increasingly sophisticated, necessitating adaptive and multi-layered security approaches to safeguard information systems. The study concludes that proactive measures, including robust authentication, encryption, and user training, are essential for enhancing cybersecurity resilience in business organizations.
Peningkatan Literasi Digital melalui Pelatihan Pembuatan Konten Edukasi Berbasis Teknologi Informasi di SMAN 7 Bandar Lampung Marlina, Iin; Hendro Pramono, Doni Eko
Jurnal Publika Pengabdian Masyarakat Vol 6, No 2 (2024): Jurnal Publika Pengabdian Masyarakat
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jppm.v6i2.4067

Abstract

This study aims to enhance digital literacy among high school students by conducting a training program on educational content creation using information technology tools. The program focuses on providing hands-on experience in video editing software, digital education platforms, and social media optimization for disseminating educational information effectively. A practical methodology was employed, including interactive workshops and guided project sessions. The results indicate a significant improvement in students' technical and creative abilities, as well as their understanding of how to use digital tools responsibly and effectively. The findings underscore the importance of integrating digital literacy training into high school curriculums to prepare students for the demands of a technology-driven world. This initiative is expected to contribute to the students' overall skill development and readiness for the digital era..Penelitian ini bertujuan untuk meningkatkan literasi digital siswa SMA melalui program pelatihan pembuatan konten edukasi berbasis teknologi informasi. Program ini berfokus pada pemberian pengalaman langsung dalam penggunaan perangkat lunak video editing, platform edukasi digital, dan optimalisasi media sosial untuk menyebarkan informasi edukasi secara efektif. Metodologi yang digunakan meliputi lokakarya interaktif dan sesi proyek terarah. Hasil penelitian menunjukkan peningkatan signifikan pada kemampuan teknis dan kreativitas siswa, serta pemahaman mereka tentang penggunaan alat digital secara bertanggung jawab dan efektif. Temuan ini menegaskan pentingnya pelatihan literasi digital dalam kurikulum SMA untuk mempersiapkan siswa menghadapi tuntutan dunia berbasis teknologi. Inisiatif ini diharapkan dapat berkontribusi pada pengembangan keterampilan siswa secara keseluruhan dan kesiapan mereka di era digital..
Application of Customer Relationship Management Method On E-Commerce (Case Study : PT Beesge Andalas Perkasa) Doni Eko Hendro Pramono; Fathurrahman Kurniawan Ikhsan
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 3, No 3 (2020): JTKSI
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v3i3.913

Abstract

The data processing process related to sales data and the availability of goods currently running still uses conventional recording, namely the absence of a system that can process data automatically to speed up the Customer Relations Management processing process. (CRM) is a method used to simplify the process of communication between consumers and companies in order to create a sense of comfort in consumers towards the company. One proof of the need for a system desired by the owner of PT Beesge Andalas Perkasa is wanting a system that helps promote and introduce his business and also increase sales without even having to cost a lot in the advertising process. The purpose of this study is to help improve the strategy and loyalty of customers and increase the sales power of PT Beesge Andalas Perkasa
Pengenalan Sinyal Otak Berbasis Machine Learning untuk Aktivasi Lampu Sen Otomatis pada Kendaraan Bermotor (Kasus Ibu-Ibu di Indonesia) Hartantom, Budi; Marliana, Iin; Pramono, Doni Eko Hendro
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.6901

Abstract

This study proposes an automatic turn signal activation system for motor vehicles based on brain signals using a machine learning approach, with a specific focus on rider behavior, particularly among Indonesian mothers. The system is designed to enhance driving safety by detecting brain signals using EEG devices and processing them through machine learning algorithms to identify the rider's intent to activate the turn signals. Data were collected from various rider groups, processed, and trained using machine learning models to ensure high classification accuracy. The test results indicate that this system effectively recognizes brain signal patterns and automates turn signal activation with adequate accuracy. The implementation of this system is expected to reduce the risk of accidents caused by riders' negligence in providing signals when turning.
Pelatihan Python untuk Sistem Prediksi Hasil Tangkapan Ikan di Pulau Pasaran, Bandarlampung Pramono, Doni Eko Hendro; Sukri, Hamdan; Purnomo, Rosyana Fitria; Hartanto, M Budi
PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya Vol 3 No 1 (2025): PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pengamatanv3i1p27-36

Abstract

The Python training program for a fish catch prediction system in Pasaran Island, Bandarlampung, aims to enhance the efficiency and accuracy of fishery forecasts for local fishermen. Utilizing machine learning algorithms, the system processes environmental data such as sea surface temperature, chlorophyll levels, and weather conditions. This training introduces participants to Python basics, data processing, and the implementation of predictive algorithms like linear regression and artificial neural networks. Results from the training indicate an improvement in participants' understanding of predictive technology, directly supporting decision-making in fisheries activities. Furthermore, the application of this technology is expected to reduce reliance on less precise traditional methods. By integrating spatial and temporal data, this program delivers a prediction system that adapts to changing marine ecosystems, supporting sustainable fishery resource management. The study contributes to the coastal community's capacity to address challenges posed by climate change and marine economic dynamics.
Co-Authors Adi Prasetia Nanda Budi Hartanto Fathurrahman Kurniawan Ikhsan Hartanto, M Budi Hartantom, Budi Hilda Dwi Yunita ikhwan, Ahmad Khozainuz Zuhri marliana, iin Marlina, Iin Nanda, Adi Prasetia Rosyana Fitria Purnomo Sri Hartati Sri Hartati Sukri, Hamdan Yodhi Yuniarthe