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All Journal Voice Of Informatics Jurnal Mantik Respati Jurnal Teknimedia: Teknologi Informasi dan Multimedia
Muhamad Maksum Hidayat
MTI Universitas Amikom Yogyakarta
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media

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Perencanaan Strategis Sistem Informasi Menggunakan Metode Ward and Peppard di SMK Syubbanul Wathon Hanif Al Fatta, Muhamad Maksum Hidayat, Kusrini,
Jurnal Teknologi Informasi RESPATI Vol 14, No 3 (2019)
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (364.764 KB) | DOI: 10.35842/jtir.v14i3.312

Abstract

SMK Syubbanul Wathon merupakan organisasi pendidikan sekolah menengah kejuruan berbasis pesantren yang ada di Magelang, Jawa Tengah, untuk terus berkembang dan unggul dalam berkompetisi dengan kompetitor lain, SMK Syubbanul Wathon membutuhkan perencanaan strategis sistem informasi karena untuk saat ini SMK Syubbanul Wathon belum memiliki perencanaan strategis sistem informasi dan dukungan sistem informasi yang ada saat ini belum optimal, hanya ada sistem informasi keuangan, sehingga aktivitas-aktivitas yang lain masih berjalan secara konvensional, tidak efektif, dan tidak efisien, hal ini yang menyebabkan melemahnya  keunggulan kompetitif pada SMK Syubbanul Wathon. Dalam paper ini akan menjelaskan perencanaan strategis sistem informasi menggunakan framework Ward and Peppard dengan analisis data menggunakan SWOT, PEST, Value Chain, dan McFarlan Strategic Grid. Penelitian ini menghasilkan portofolio 18 rekomendasi sistem informasi yang telah dipetakan prioritasnya menggunakan McFarlan Strategic Grid.  Kata kunci— Perencanaan strategis, Ward and Peppard, Sistem Informasi, Portofolio.
Analisis Kelayakan Latar Belakang Proposal Penelitian Menggunakan Metode Naïve Bayes Classification Siska Febriani; Muhamad Maksum Hidayat
Jurnal VOI (Voice Of Informatics) Vol 9, No 1 (2020)
Publisher : STMIK Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.326 KB)

Abstract

Data Di akademisi atau kampus seringkali menjadi masalah bagi mahasiswa atau peneliti yang akan mengajukan proposal penelitian, di mana di latar belakang proposal yang diajukan seringkali tidak memenuhi atau tidak memenuhi unsur kelayakan latar belakang proposal, menurut Ristekdikti (2018) ) latar belakang harus mengandung elemen latar belakang masalah, urgensi penelitian, dan tujuan spesifik penelitian. Ini menghasilkan sejumlah proposal penelitian yang tidak sesuai untuk persetujuan yang diakhiri dengan banyak penolakan atau revisi, hanya karena penulisan proposal penelitian yang tidak tepat. Dalam penelitian ini mengusulkan untuk menggunakan metode Naive Bayes sebagai metode klasifikasi teks latar belakang penelitian sehingga model yang sesuai diperoleh untuk menghasilkan tingkat akurasi terbaik untuk kelayakan latar belakang proposal penelitian. Dari ujicoba itu muncul nilai threshold nya yaitu 0.0006, 0.0007, 0.0008, 0.0016. dan setelah diujicobakan pada banyak dokumen yang akan di cari krlayakannya. Muncul kata banyak sebanyak 7776, 7633, 5834,9921. Dan setelah di input 300 dokumen latar belakang ada 223 layak dan sisanya tidak layak ada 77 dokumen.  Saran untuk penelitian selanjutnya diharapkan menggunakan data training yang lebih banyak sehingga hasilnya akan lebih akurat. Selain itu data training sebaiknya di ambil dari banyak sumber yang berbeda sehingga akan lebih memperkaya pengetahuan sistem.
SEGMENTASI PASAR KOPI MENGGUNAKAN METODE KNN DI INDONESIA Muhamad Maksum Hidayat; Wahyu Nugroho; Arief Setyanto
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 1 No. 1 (2020): Mei 2020
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.951 KB) | DOI: 10.46764/teknimedia.v1i1.12

Abstract

Coffee is one of the most widely consumed plantation commodities in Indonesia and has great opportunities to be developed, especially in the field of market development. The thing that becomes an obstacle for coffee entrepreneurs is the right segmentation of the coffee market with the vast Indonesian state. This study aims to segment the coffee market in Indonesia by utilizing coffee image data available on Instagram social media with image classification using the K-Nearest Neighbor algorithm and histogram feature extraction, so as to determine the exact coffee market segmentation in Indonesia.
Implementation Of Message Security In Pictures Using Playfair Chiper Algorithm: Implementation Of Message Security In Pictures Using Playfair Chiper Algorithm Muhamad Maksum Hidayat; Wahyu Nugroho; Dony Ariyus
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.285 KB)

Abstract

Cryptography implementations are now widely solved by cryptanalyst in the process of securing a messaging system, and therefore the need to add a method of steganography. Steganography is the art of hiding secret messages in any medium other than the sender and receiver that no one would know or realize there is a secret message in the media is sent. In this journal, conducted a study on the implementation of cryptography in the form of encryption and decryption of a message using the Playfair cipher algorithm is modified by letter hijaiyah. Then the implementation of steganography in a PNG image media, the testing process is done by sending the media image using email, whatsapp, facebook, and telegram. research aims to make the encryption process stronger and more secure,
SISTEM KONTROL SUHU DAN KELEMBAPAN OTOMATIS PADA BUDIDAYA JAMUR TIRAM BERBASIS IOT UNTUK MENDUKUNG SMART FARMING SYSTEM Muhamad Maksum Hidayat; Nur Fitrianingsih Hasan; Intan Maya; Martalina Wakerwa
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 4 No. 2 (2023): Desember 2023
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v4i2.130

Abstract

The cultivation of mushrooms, particularly the oyster mushroom variety, is gaining increasing popularity within the agricultural sector in Indonesia. The success of oyster mushroom cultivation is highly dependent on environmental factors, notably temperature and humidity, which must be consistently maintained. In response to these challenges, this research is centered on the design and implementation of an IoT-based automated temperature and humidity control system aimed at supporting the concept of house smart farming. The system developed in this research consists of temperature and humidity sensors connected to an ESP32 microcontroller. Furthermore, this system is equipped with a user interface based on a mobile application accessible through Android devices. With this system in place, farmers can monitor the environmental conditions of their mushroom growth facilities in real-time and adjust temperature and humidity easily through the mobile application. The system's key strength lies in its capability to monitor environmental conditions in real-time, allowing farmers to conveniently observe temperature and humidity levels in their mushroom cultivation facilities remotely. Additionally, the system can autonomously adjust temperature and humidity through the mobile application. The research findings conclusively demonstrate that this system can maintain the required ideal temperature and humidity levels for successful oyster mushroom cultivation.
Co-Authors Arief Setyanto Dony Ariyus Hasan, Nur Fitrianingsih Intan Maya Martalina Wakerwa Siska Febriani Wahyu Nugroho