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All Journal CCIT (Creative Communication and Innovative Technology) Journal JSAI (Journal Scientific and Applied Informatics) IJIIS: International Journal of Informatics and Information Systems Jurnal Teknologi dan Sistem Tertanam Jurnal Sistim Informasi dan Teknologi West Science Social and Humanities Studies
Rasna
Universitas Yapis Papua
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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SMART FARMING BERBASIS IOT PADA TANAMAN CABAI UNTUK PENGENDALIAN DAN MONITORING KELEMBABAN TANAH DENGAN METODE FUZZY rasna rasna; Sitti Nur Alam
Jurnal Teknologi dan Sistem Tertanam Vol 3, No 1 (2022): Vol 03 No 01, Februari 2022
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtst.v3i1.1933

Abstract

Cabai merah atau Capsicum Annuum L merupakan salah satu tumbuhan dari jenis buah-buahan yang membutuhkan perhatian khusus dalam pertumbuhanya. Tanaman inimembutuhkan  kelembaban  tanah  yaitu  70%  -  80%  dan  suhu  udara  yaitu  24°  -  28°Csehingga  dibutuhkan  pemantauan  kelembaban  tanah  dan  suhu  udara  secara  langsung setiap hari untuk menjaga kelembaban tanah dan suhu udara agar tetap pada yang dibutuhkan, jika kelembaban tanah suhu udara tidak sesuai maka tanaman ini tidak dapat tumbuh  dengan  baik  atau  bisa  menyebabkan  terjadi  gagal  panen.  Oleh  karena  itu, dirancang suatu sistem purwarupa Smart Farming berbasis IoT yang dapat melakukan pengendalian dan monitoring   kelembaban tanah dan suhu udara sesuai dengan yang dibutuhkan oleh tanaman cabai merah. Sistem ini dapat menyiramkan tanaman ketika kelembaban  tanah  kurang  dari  70%,  mengendalikan  suhu  udara  menggunakan  kipas dengan metode fuzzy dan menampilkan nilai yang telah dibaca sensor pada antarmuka android.
Sistem Pakan Ayam Otomatis Berbasis Internet Of Things Ade Surahman; Bobi Aditama; Muhammad Bakri; Rasna Rasna
Jurnal Teknologi dan Sistem Tertanam Vol 2, No 1 (2021): Vol 02 No 01, Februari 2021
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtst.v2i1.1025

Abstract

Salah satu peternakan yang berkembang di Indonesia adalah peternakan ayam pedaging (broiler). Bagi usaha peternakan ayam pedaging, diperlukan pemeliharaan yang lebih baik dan kontinyu untuk menghasilkan ayam pedaging dengan kualitas yang baik. Banyak para peternak ayam pedaging masih menggunakan cara yang manual dalam memberi pakan ayam. Cara tersebut kurang efektif dan kurang efisien, selain itu juga membutuhkan banyak sumber daya manusia. Tugas akhir ini bertujuan untuk membangun sebuah Sistem Pakan Ayam Berbasis Internet of Things berbentuk prototype yang memanfaatkan internet sebagai media untuk pengendalian alat elektronik secara jarak jauh menggunakan mikrokontroler NodeMCU ESP8266, Servo MG995, dan LED indikator yang berkomunikasi dengan server MQTT ke Smartphone. Setelah dilakukan pengujian kerja sistem, hasil yang didapatkan menunjukkan bahwa sistem telah dapat bekerja dengan memberikan pakan secara otomatis. Informasi saat terhubung ke server, saat pemberian pakan, katup pakan terbuka dan tertutup dapat ditampilkan pada panel aplikasi.
Perancangan Aplikasi Penyedia Produk Digital Berbasis Website Salahudin Robo; Rasna; Siti Marwa
JSAI (Journal Scientific and Applied Informatics) Vol. 5 No. 2 (2022): Juni 2022
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v5i2.3438

Abstract

The marketing media specifically marketed digital products in the city of jayapura remain very scarce for free, so the digital product from creator-creator in jayapura does not reach its appropriate market target and causes its lack of technical implementation from creators. The study used the method of analysis at pieces to identify the differences and influences provided by the proposed system. With six indicators of spectacle, information and data, economy, control and security, integration and service. The result is a web-based digital product provider application. The application gains an average value of satisfaction (rk) involving 16 respondents with the following value acquisition: at the performance indicator: 4.5 which means "satisfied," economic indicator: 4.4 which means "satisfied," control indicator: 4.5 which means "satisfied" indicator: 4.3 which means "satisfied" and service indicator: 4.4 which means "satisfied." And thus it can be said that: "user satisfaction with the digitized applications" belongs in the satisfied category
Comparison of Security Signing Data Authentication Integrity in Combination of Digest And AES Message Algorithm Rasna Rasna; Irjii Matdoan; Sitti Alam
International Journal of Informatics and Information Systems Vol 4, No 1: March 2021
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v4i1.72

Abstract

Online information systems with the Single Sign-On (SSO) model are currently widely used by many companies. Single Sign-On (SSO) is an independent authentication model. This system runs on the Hypertext Transfer Protocol (HTTP) protocol. Sending data or information without security is at risk of eavesdropping on information by the authorities. This study aims to compare the combination of Message-Digest and Advanced Encryption Standard (AES) algorithms to improve data security by modifying dynamic keys. The test results show that in each execution the user name and password with the MD5 algorithm are always the same while in the AES algorithm the results are always different so it is safe from replay attacks. So that the Advanced Encryption Standard (AES) algorithm can secure data through the Single-Sign-On authentication process with high-security accuracy.
Metode Bayesian dan Multilayer Percepton dalam Mengklasifikasi Diabetes Mellitus Rasna; Moh. Rahmat Irjii Matdoan
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (251.403 KB) | DOI: 10.37034/jsisfotek.v4i2.132

Abstract

Diabetes mellitus is a chronic metabolic disorder that causes glucose regulation in the blood. Blood sugar anomalies can be defined as unwanted readings either due to normal causes or reasons unknown to the patient. Machine learning applications have been widely introduced in diabetes research and blood sugar anomaly detection. However, modeling options and strategies for classification in diabetes mellitus are needed. This study aims to classify the data as diabetic or non-diabetic and improve classification accuracy. Classification accuracy is improved by using many of the data sets as training data and test data. Classification accuracy is improved by using multiple of the data set as data. In the test, the C4.5 and RF hybrid methods, as well as the MLP and Net Bayes hybrid classification methods were developed for the classification of diabetes. In the case of C4.5 + RF it provides an accuracy of 79.31% which is higher than the individual models. Similarly, MLP + Net Bayes, provides an 81.89% higher accuracy than the individual models. In the second case the 85-15% ensemble model training and test partitions have an important role for the classification of diabetes data. The proposed MLP + Net Bayes provides 81.89% accuracy as a robust model for data classification. So that the proposed model achieves the highest accuracy of 81.89% with 6 features and reaches the highest sensitivity of 64.10% and the highest specificity of 90.90%.
Gartner Model and Partial Least Square Regression for Evaluation the Maturity Level E-Government Public Services in Provincial Papua Moh. Rahmat Irjii Matdoan; Rasna Rasna; Rostini Anwar; Muhammad Ridwan Rumasukun; Gustaf Griapon
CCIT Journal Vol 16 No 2 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

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

Abstract

Governance in Indonesia in the era of technology 4.0 is required to follow changes and accommodate every community's aspirations quickly. The level of participation and become an advantage of E-government in breaking the divide between the government and the people in Indonesia. The level of public participation that continues to increase if it is open makes E-Government much needed in Indonesia. However, there are still many government information systems that are created and implemented that do not work optimally both in regional and central governments. The purpose of this research is to provide basic data, follow-up data, and all that is needed for the development of an E-Government strategy. Measuring the maturity level of E-government is needed to determine the extent of the implementation of E-Government in Papua Province. The model used to measure the level of maturity in the study is the Gartner Model. Gartner's model suggests four critical phases of e- government evolution: web presence, interaction, transaction, and transformation. The research methodology uses a questionnaire and the calculation uses the average score of each dimension. To find out the relationship between the dimensions and the criteria used the Partial Least Square method. The results of the research that the maturity level of E-Government is 4.06 (predictable process). The dimensions of transformation and usability affect public participation in using e-government in Papua Province.
Bibliometric Study on IoT Adoption in Smart Manufacturing: Trends, Challenges, and Opportunities Loso Judijanto; Husain Ali; M Safii; Rasna Rasna; Elkana Timotius
West Science Social and Humanities Studies Vol. 3 No. 01 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i01.1640

Abstract

This bibliometric study investigates the adoption of the Internet of Things (IoT) in smart manufacturing, examining the trends, challenges, and opportunities that have shaped this evolving field from 2000 to 2022. Utilizing data sourced exclusively from Scopus and analyzed through VOSviewer, the research identifies core themes, tracks their progression over time, and highlights the key contributors and collaborations across countries. The analysis reveals a significant shift from basic IoT applications towards more sophisticated integrations like machine learning, digital twins, and enhanced security protocols. The study also underscores the crucial role of international collaboration in advancing IoT research and addresses the pressing challenges such as interoperability, security concerns, and the workforce skills gap. Furthermore, it suggests future research directions, including the need for standardized IoT frameworks and the exploration of sustainable IoT practices. This study provides a comprehensive overview of the IoT landscape in manufacturing, offering insights into its future trajectory and the potential for transformative industry advancements.
Co-Authors Ade Surahman Alam, Sitti Nur Bobi Aditama Elkana Timotius Gustaf Griapon Husain Ali Irjii Matdoan Loso Judijanto M Safii Moh. Rahmat Irjii Matdoan Moh. Rahmat Irjii Matdoan Muhammad Bakri Muhammad Ridwan Rumasukun Robo, Salahudin Rostini Anwar Siti Marwa Sitti Alam