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All Journal Jurnal Teknologi Informatika dan Komputer Djtechno: Jurnal Teknologi Informasi Technologica SENTRI: Jurnal Riset Ilmiah Electron: Jurnal Ilmiah Teknik Elektro EPSILON: Journal of Electrical Engineering and Information Technology Journal of Computer-based Instructional Media Akademika
Yandi Anzari
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Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Law, Crime, Criminology & Criminal Justice

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Rancang Bangun Teko Minum Pintar dan Sehat Berbasis Arduino dan Blynk Menggunakan Sensor Ultrasonik Puriza, M. Yonggi; Anzari, Yandi; Yandi, Welly; Satria, Habib; Putra, Ghiri Basuki; Arkan, Fardhan; Amsana Rachmani, Almeera
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 5 No 1: Jurnal Electron, Mei 2024
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v5i1.157

Abstract

Minum merupakan proses manusia memenuhi kebutuhan tubuh dalam hal cairan karena 70% tubuh manusia terdiri dari kandungan air. Kebanyakan manusia tidak mengetahui jumlah air yang harus diminum dalam sehari sesuai dengan umur dan berat badan atau sesuai dengan jumlah yang dianjurkan untuk kesehatan tubuh manusia. Oleh karena itu, pembuatan sebuah alat untuk membantu manusia dalam mengatur pola minum yang tergantung dengan aktivitas dan fisik manusia tersebut sangat perlu dilakukan sehingga alat tersebut dapat membantu manusia dalam mengetahui jumlah cairan yang diperlukan serta untuk mencegah penyakit terutama dehidrasi akibat kurangnya minum air. Hal ini memberi gambaran bagi penulis untuk membuat sebuah teko minum cerdas yang dapat membantu kesehatan manusia. Teko minum ini akan terintegrasi dengan perangkat elektronik dengan beberapa sensor sebagai pengukurnya. Seperti sensor pH untuk mengukur pH air karena memengaruhi kesehatan manusia, sensor ultrasonik untuk mengukur jumlah air yang telah diminum oleh manusia, dengan mikrokontroler untuk mengatur pola minum dan mengukur kebutuhan cairan yang dibutuhkan oleh manusia secara spesifik. Banyak di pasaran produk teko air minum cerdas atau smart water jug, tetapi hanya sebatas menghitung mundur pola minum dan kapasitas air di dalam wadah. Teko air minum cerdas yang di bangun merupakan sebuah terobosan pengaturan kebutuhan cairan seseorang dengan postur fisik dan aktivitas yang spesifik serta pengaturan secara otomatis kadar cairan dalam tubuhnya dan diharapkan dapat menjaga kesehatan tubuh dalam mengatasi kekurangan cairan serta mencegah dehidrasi dan mungkin penyakit ginjal akibat sering kurangnya minum air
PENGEMBANGAN SISTEM INFORMASI PEMASARAN BUAH PINANG BERBASIS WEB UNTUK PETANI DAN PEDAGANG: Information Systems, MYSQL, Web-Based, Marketing Areca Nut, SDLC Yulvianda, Renaldi; Sutoyo, Mochammad Arief Hermawan; Ismail, Muhammad; Anzari, Yandi
JURNAL AKADEMIKA Vol 18 No 1 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/8gv01h05

Abstract

The Betel nut is a plantation commodity with significant economic potential, particularly as an export product. However, marketing activities among farmers and traders still face obstacles, such as limited access to price information, less than optimal promotions, and a narrow distribution network. This study aims to design and develop a web-based betel nut marketing information system that can support the promotion and transaction process. The system development method used refers to the System Development Life Cycle (SDLC) model, namely the waterfall, starting from user needs analysis, system design, implementation, and testing. This system was created using the PHP programming language with a MySQL database, and is equipped with key features such as product data management, price recording, information publication and communication media between farmers and traders, as well as a payment gateway feature. Testing results using the black box testing approach showed that the system can function according to the design. With this information system, it is expected that betel nut marketing will be more structured, market access will be wider, and farmers and traders will obtain a more competitive selling price.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN VENDOR BAHAN BAKU STRATEGIS DENGAN METODE ANALYTICAL HIERARCHY PROSES (AHP) DAN TOPSIS: Decision Support System (DSS), Multi-Criteria Decision Making, (MCDM), Analytical Hierarchy Process  (AHP), Technique for Order Preference by, Similarity to Ideal Solution (TOPSIS) Muhammad Damas Fatih; Pariyadi, Pariyadi; Rachmawati, Aulia; Anzari, Yandi
JURNAL AKADEMIKA Vol 18 No 1 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/g7wc3t46

Abstract

Vendor selection at PT. Manufaktur Digital Jaya is still prone to subjectivity and bias that focuses on price, which risks causing production bottlenecks and quality decline. This decision is a complex Multi-Criteria Decision Making (MCDM) problem and requires an objective and structured assessment. This research aims to design a Decision Support System (DSS) to determine the best vendor at PT. Manufaktur Digital Jaya, using a combination of the Analytical Hierarchy Process  (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The AHP analysis was validated using Expert Choice software and the TOPSIS calculations were performed with Microsoft Excel. The AHP method is used to determine the priority weights of the assessment criteria, while TOPSIS is used to rank the vendor alternatives based on their closeness to the ideal solution. Five main criteria were established, covering Product Quality (C1), Unit Price (C2), Delivery Accuracy (C3), Service Capacity (C4), and Reputation (C5). The results of the AHP analysis show that Product Quality (C1) and Service Capacity (C4) are the criteria with the highest weights, reflecting the company's strategic priority on quality and long-term support.
ANALISIS KETAHANAN KOMBINASI TEKNIK KRIPTOGRAFI RAIL FENCE DAN VIGENERE CIPHER TERHADAP SERANGAN BRUTE-FORCE MENGGUNAKAN PEMROGRAMAN PYTHON: Algorithms, Kriptografi, Rail Fence cipher, Vigenere cipher, Brute-Force Rachmawati, Aulia; Anzari, Yandi; Fatih, Muhammad Damas; Pariyadi, Pariyadi
JURNAL AKADEMIKA Vol 18 No 1 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/6w0a4245

Abstract

Data is an essential asset that must be protected due to its strategic role in maintaining the continuity of information systems. Therefore, data security becomes a crucial aspect in information management. One of the approaches to ensure data security is through the application of cryptographic techniques. Two commonly used classical cryptographic algorithms are the Rail Fence Cipher and the Vigenere Cipher. However, the use of a single algorithm has weaknesses, as it remains vulnerable to brute-force attacks. This study aims to combine two cryptographic methods, namely the transposition technique (Rail Fence) and the substitution technique (Vigenere), to enhance resistance against brute force attacks. The research employs an experimental method by implementing the combined algorithms using the Python programming language. Testing was conducted on three scenarios: encryption using Rail Fence, Vigenere, and their combination. The results show that the combined algorithm increases key space and produces more complex character distribution patterns, thereby improving security against brute-force attacks.
APLIKASI LAYANAN PELANGGAN BERBASIS WEB DAN MOBILE PADA PERUSAHAAN AIR MINUM: Application, Complaint, Customer Service, Mobile, Water Company Pariyadi, Pariyadi; Damas Fatih, Muhammad; Anzari, Yandi; Rachmawati, Aulia
JURNAL AKADEMIKA Vol 18 No 1 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/0898pj82

Abstract

The quality of public service is a crucial factor for companies such as the Regional Water Company. The main challenges often faced are the slow handling of customer complaints, difficulty in accessing billing information, and the bureaucratic process of new connection registration. This research aims to design and build an integrated web and mobile-based customer service information system. The research method used is the Waterfall model, which includes the stages of requirements analysis, system design, implementation, and testing. The result of this research is the customer service application, which consists of three platforms: (1) A back office web for administrators, supervisors, and superadmins to manage master data, monitor, and delegate complaints and reports; (2) An Android Mobile Application for Customers, featuring online complaints, complaint tracking, new connection registration, bill checking, self-service meter reading, and news information; (3) An Android Mobile Application for Field Officers, which functions to receive and update the status of complaint work orders. The implementation of this system has successfully transformed manual business processes into digital ones, thereby increasing response speed, data transparency, and customer satisfaction one of them is PERUMDA Air Minum Tirta Mayang.      
PENERAPAN ALGORITMA K-MEANS UNTUK KLASTERISASI POLA IKLIM STUDI KASUS: PROVINSI JAMBI PERIODE 2020-2024 Anzari, Yandi; Puriza, M. Yonggi; Akbar, Niko; Abdillah, Nurul; Dahwanu, Oki; Syawal, Elsi Alfionita
Djtechno: Jurnal Teknologi Informasi Vol 6, No 3 (2025): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i3.7994

Abstract

Penelitian ini menerapkan algoritma K‑Means untuk mengidentifikasi pola iklim dominan di Provinsi Jambi pada periode Januari 2020 sampai Desember 2024. Dataset bulanan berjumlah 60 observasi yang memuat enam variabel meteorologi: curah hujan, suhu rata‑rata, suhu maksimum, suhu minimum, kecepatan angin, dan kelembaban relatif. Data diagregasi dari data harian menjadi bulanan dan dipra‑proses dengan standardisasi Z‑Score untuk mengatasi heterogenitas skala antar fitur. Penentuan jumlah klaster optimal dilakukan secara kuantitatif menggunakan Elbow Method berdasarkan nilai inersia, yang menunjukkan titik belok pada k=3. Model K‑Means diinisialisasi secara acak dan dijalankan dengan beberapa pengulangan untuk menilai stabilitas hasil; keluaran divisualisasikan dalam proyeksi 2D dan 3D untuk memudahkan interpretasi spasial. Analisis centroid mengidentifikasi tiga rezim iklim: rezim kering/transisi (curah hujan rendah dan suhu relatif tinggi), rezim monsonal normal (curah hujan menengah‑tinggi dan kelembaban tinggi), serta rezim basah ekstrem (curah hujan sangat tinggi dan kelembaban tinggi). Hasil ini menyediakan tipologi iklim berbasis data yang relevan untuk perencanaan pertanian, mitigasi bencana hidrometeorologi, dan kebijakan adaptasi iklim di tingkat provinsi.
Co-Authors Ahadi, Ahmad Husna Ahmad Husna Ahadi Aktan, Rizky Nurman Alghifari, Hamzah Aminuddin, Fattachul Huda Amsana Rachmani, Almeera Andre Rabiula Cecilia, Cecilia Djauhari, Teuku Elsi Alfionita Syawal Fardhan Arkan Fatih, Muhammad Damas Fitra Novriadi Gali Triyani Gustina Gustina Gustina Habib Satria Hanalde Andre Jumnahdi, Muhammad M. Yonggi Puriza Muhammad Farhan Syawal Muhammad Ismail Mutmainnah - Mutmainnah Mutmainnah Niko Akbar Nindy Raisa Hanum Noni Rahmawati Novriadi, Fitra Nurul Abdillah Oki Dahwanu Pariyadi Perdana, Yogi Puriza, M Yonggi Putra, Ghiri Basuki Rachmawati, Aulia Rahmawati, Noni Renaldi Yulvianda Ridwan Ridwan Rizky Nurman Aktan Siti Alfiah, Puput Sutoyo, Mochammad Arief Hermawan Welly Yandi Wibowo, Sugeng Yandi, Welly