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All Journal Syntax Jurnal Informatika CommIT (Communication & Information Technology) Scan : Jurnal Teknologi Informasi dan Komunikasi Proceeding International Conference on Information Technology and Business Jurnal Teknologi Informasi dan Ilmu Komputer International conference on Information Technology and Business (ICITB) Jurnal Sistem Informasi dan Bisnis Cerdas Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer INTEGER: Journal of Information Technology JIEET (Journal of Information Engineering and Educational Technology) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Jurnal Teknologi Informasi dan Multimedia Jurnal Informatika dan Rekayasa Elektronik bit-Tech Journal of Appropriate Technology for Community Services JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal Layanan Masyarakat (Journal of Public Service) Jifosi Nusantara Science and Technology Proceedings KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Dan Tekonologi Komputer (JITEK) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Krisnadana JUSIFOR : Jurnal Sistem Informasi dan Informatika Jurnal Pepadu Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Krisnadana Jurnal Informatika Polinema (JIP) Router : Jurnal Teknik Informatika dan Terapan Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Repeater: Publikasi Teknik Informatika dan Jaringan Prosiding Seminar Nasional Ilmu Teknik Router : Jurnal Teknik Informatika dan Terapan Jurnal Informatika Dan Tekonologi Komputer
Henni Endah Wahanani
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Implementation of Facebook Prophet Algorithm in Population Prediction Raditya Dimas Libriawan; Anggraini Puspitasari Sari; Henni Endah Wahanani
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3190

Abstract

The number of populations in a country is a very important aspect because it has a direct effect on various aspects of life. Indonesia is in the fourth position of the country with the largest population in the world. It is recorded in the Indonesian Central Statistics Agency (BPS) that by mid-2024, the population in Indonesia will reach 281.603.800 people. The ever-increasing population will drive increased energy demand. Therefore, monitoring and controlling population growth is a crucial and indispensable step, one of which is by utilizing machine learning to conduct time series forecasting. This study contributes by optimizing FB Prophet’s parameter configuration for population forecasting in Indonesia, achieving improved accuracy compared to traditional models. The purpose of this study is to determine the level of accuracy and error of the model with evaluation metrics such as Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE). The results obtained from forecasting using the Prophet algorithm were that Indonesia increased by 1.5% by the end of 2025, with the value of the MAE evaluation metric of 0.0244, RMSE of 0.0256, and MAPE of 2.65%, which indicates a highly accurate prediction level for annual population data.
Optimizing the ResNet50 Model with Five Optimizers for Detecting Rice Leaf Diseases Muchammad Syamsu Huda; Henni Endah Wahanani; Fetty Tri Anggraeny
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3232

Abstract

Rice (Oryza sativa) productivity is frequently threatened by foliar diseases such as Bacterial Leaf Blight, Brown Spot, Blast, and Tungro, which are often visually indistinguishable. This study achieved a high classification accuracy of 97.05% in detecting these diseases by optimizing the ResNet50 architecture with five optimizers Adam, Nadam, Adamax, RMSprop, and SGD and identifying Adamax as the most effective. Using transfer learning with ImageNet weights and data augmentation, the model was trained and validated on 4,400 labeled images from Kaggle, partitioned in a 70:20:10 ratio for training, validation, and testing. The methodological framework integrates three layers of innovation: (1) optimizing a deep residual CNN with comparative adaptive and non-adaptive optimizers; (2) employing transfer learning to accelerate convergence and reduce overfitting; and (3) deploying the best-performing model into an Android-based mobile application for real-time field detection. Results demonstrate that adaptive optimizers substantially enhance ResNet50’s learning stability and generalization compared to traditional methods. The Adamax variant exhibited the most stable convergence and minimal validation loss, proving effective for fine-grained visual differentiation between similar disease patterns. This research advances the current state-of-the-art in agricultural image classification by providing a systematic optimizer evaluation within a CNN transfer learning framework and extending its practical usability through mobile deployment. Future studies should address model compression, real-time inference optimization, and cross-crop generalization to strengthen the scalability of AI-assisted disease diagnosis in precision agriculture.
Penerapan Teknik Basis Path pada Pengujian White Box Sistem Informasi Perencanaan dan Penganggaran Responsive Gender di Diskominfo Kabupaten Jombang Putri, Della Atika; Wahanani, Henni Endah; Nurlaili, Afina Lina
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.6338

Abstract

Sistem informasi merupakan media penting yang digunakan untuk menyediakan informasi secara akurat dan tepat waktu. Mengingat signifikansi sistem ini bagi organisasi, pengujian kualitas dan keandalan sistem menjadi krusial. Penelitian ini mengkaji sistem informasi perencanaan dan penganggaran responsif gender yang dikelola oleh Diskominfo Jombang dengan menerapkan teknik basis path dalam metode pengujian white box. Pengujian melibatkan pembuatan flowgraph, perhitungan cyclomatic complexity (CC), penentuan jalur independen, dan pembuatan test case. Teknik basis path digunakan untuk memastikan bahwa setiap jalur dalam program dapat dilalui sekali tanpa adanya jalan pintas atau perulangan, melalui analisis kode program sistem. Hasil pengujian menunjukkan bahwa dari empat fungsi yang diuji, satu fungsi memiliki prosedur yang terstruktur dengan baik dan konsisten, sedangkan tiga fungsi lainnya sederhana dan memiliki risiko rendah. Secara keseluruhan, sistem ini dinilai memiliki risiko rendah. Namun, evaluasi usability menggunakan metode SUS menunjukkan bahwa, meskipun sistem berfungsi dengan baik dari segi logika internal, antarmuka yang rumit, serta navigasi yang membingungkan menyebabkan skor SUS yang rendah. Hal ini menunjukkan bahwa sistem belum sepenuhnya ramah pengguna dan memerlukan perbaikan.
RANCANG BANGUN SISTEM SMART TRAFFIC LIGHT BERBASIS IOT UNTUK MEMPRIORITASKAN KENDARAAN DARURAT MENGGUNAKAN FUZZY TYPE-2 Ramadhaniar, Alfi; Rahmat, Basuki; Wahanani, Henni Endah
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.7790

Abstract

Kemacetan lalu lintas di area perkotaan menjadi salah satu hambat-an utama bagi kendaraan darurat yang membutuhkan akses cepat untuk menyelamatkan nyawa atau menuju tempat terjadinya in-siden. Penelitian ini bertujuan merancang dan mengimplementasi-kan prototipe sistem smart traffic light berbasis Internet of Things (IoT) yang dapat memprioritaskan kendaraan darurat dengan mendeteksi suara sirine menggunakan sensor suara KY-037. Sistem ini dikendalikan oleh mikrokontroler Arduino Uno R3 ditambah dengan WiFi ESP8266 dan menggunakan metode Fuzzy Logic Type-2 untuk menangani ketidakpastian tingkat intensitas suara yang diterima sensor, serta menentukan durasi lampu hijau pada arah kendaraan darurat menggunakan delaytime. Selain itu, sistem dilengkapi dengan fitur kontrol manual berbasis aplikasi Blynk IoT untuk memungkinkan intervensi lampu lalu lintas secara langsung dalam situasi tertentu. Hasil pengujian menunjukkan bahwa sistem prototipe mampu mengidentifikasi suara sirine kendaraan darurat dan merespon dengan mengubah sinyal lampu lalu lintas menjadi hijau untuk memprioritaskan laju kendaraan darurat, serta kembali ke mode normal setelah kendaraan melintas. Sistem ini diharapkan dapat meningkatkan efisiensi layanan darurat dan mengurangi dam-pak dari kendaraan darurat yang terjebak kemacetan pada jalur per-simpangan.
PENGUJIAN USABILITY WEBSITE E-LEARNING DI SMAN 3 MOJOKERTO MENGGUNAKAN WHITE BOX TESTING, SYSTEM USABILITY SCALE, DAN TECHNOLOGY ACCEPTANCE MODEL Az-zahra, Firlie Aurellia; Wahanani, Henni Endah; Nurlaili, Afina Lina
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.6337

Abstract

Pemanfaatan teknologi informasi, e-learning telah mengubah cara belajar mengajar menjadi lebih efisien dan praktis. Guru dan siswa dapat belajar secara virtual tanpa harus bertemu langsung di kelas, menggunakan internet untuk menyampaikan materi tanpa batasan tempat dan waktu. Banyak sekolah, termasuk SMAN 3 Mojokerto, telah menerapkan sistem e-learning ini. Meskipun e-learning menawarkan banyak keuntungan. Beberapa tantangan dan masalah perlu mendapat perhatian, terutama terkait dengan kemudahan penggunaan dan penerimaan teknologi oleh pengguna. Tujuan penelitian ini adalah untuk mengevaluasi penggunaan dan penerimaan sistem atau teknologi oleh pengguna menggunakan White Box, System Usability Scale (SUS), dan Technology Acceptance Model (TAM). Hasil penelitian menunjukkan jumlah fungsi yang diuji dalam pengujian white box adalah 30, dengan 31 test case. Semua fungsi berjalan sesuai dengan fungsionalitasnya dan tidak ditemukan error pada setiap fungsi yang diuji. Pada pengujian System Usability Scale yang dilakukan melalui penyebaran kuesioner, diperoleh skor SUS sebesar 52,055 yang masuk dalam kategori marginal low dan ok, dengan grade F. Hasil perhitungan nilai F dari Model Penerimaan Teknologi (Technology Acceptance Model) menunjukkan angka sebesar 0,738, dengan tingkat signifikansi mencapai 0,597, yang jauh melebihi batas 0,05. Oleh karena itu, dapat disimpulkan bahwa semua variabel independen dalam Technology Acceptance Model tidak menunjukkan pengaruh yang signifikan terhadap variabel dependen System Usability Scale (SUS).
Pemanfaatan IoT dalam Sistem Kontrol Lingkungan Tanaman Drosera sessilifolia Menggunakan Fuzzy Type-2 Aulia, Rhimba; Putra, Chrystia Aji; Wahanani, Henni Endah
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 2 (2026): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i2.980

Abstract

Drosera sessilifolia is a carnivorous plant that requires optimal environmental conditions, par-ticularly in terms of light intensity, temperature, and water level. This study aims to utilize the In-ternet of Things (IoT) to implement an environmental control system using Type-2 Fuzzy Logic for monitoring and controlling the environmental parameters of Drosera sessilifolia. The system uses an ESP32 microcontroller supported by several sensors, including a DS18B20 temperature sensor, an LDR light intensity sensor, and a water level sensor, to monitor environmental parameters ac-curately. The acquired data are processed using the Type-2 Fuzzy method to generate control deci-sions for actuators such as a heater, peltier, lamp, peristaltic pump, and fan. The Blynk platform is used to display environmental conditions, including temperature, light intensity, water level, and actuator decision status in real time. Based on the results of a 7-day indoor test conducted in the morning and at night, the average morning temperature was 30.04°C and the average nighttime temperature was 27.91°C, while the average light intensity was 1278 ADC in the morning and 2525.43 ADC at night, and the average water level was 1.16 cm in the morning and 0.99 cm at night. Based on 14 observations over 7 days, the system showed appropriate control responses in all observed scenarios, resulting in a 100% response success rate for the detected conditions. The novelty of this study lies in the implementation of an IoT-based Type-2 Fuzzy system specifically designed for the indoor cultivation of Drosera sessilifolia by simultaneously controlling temper-ature, light intensity, and water level. In addition, this study highlights the novelty of integrating Type-2 Fuzzy Logic and IoT for carnivorous plants, which remains very limited, especially for the cultivation of Drosera sessilifolia in a controlled indoor environment. The test results show that the system is capable of controlling temperature, light intensity, and water level effectively and responsively to environmental changes. The Type-2 Fuzzy method also produces stable and adap-tive control decisions. This system offers a solution for real-time indoor monitoring and environ-mental control of Drosera sessilifolia.
Development of Blockchain-Based Escrow System with IPFS Protocol for Secure Digital Transactions Sitompul, Pelean Alexander Jonas; Wahanani, Henni Endah; Junaidi, Achmad
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3337

Abstract

Digital transactions are essential to modern economic activities, yet challenges related to trust, transparency, and security persist. This research develops a blockchain-based escrow system integrated with the InterPlanetary File System (IPFS) to address these issues through a decentralized, tamper-resistant architecture. The primary aim is to create an escrow platform that minimizes human intervention while ensuring data integrity, thereby overcoming limitations found in traditional escrow mechanisms that rely heavily on legality and banking institutions. This study demonstrates the feasibility of blockchain technology enhancement to existing escrow models, especially for traders conducting high-value digital transactions. The system enables secure interactions between buyers, sellers, and viewers through a decentralized application (dApp) that assigns user roles and executes transaction logic. Funds are securely locked within the smart contract, while digital assets are stored in IPFS. In cases of dispute, the viewer can cancel the transaction, triggering an automated refund to the buyer and deletion of associated asset data to maintain fairness and security. Smart contract development and testing are carried out using the Hardhat framework before deployment to networks such as the Ethereum-based Sepolia Testnet. The results show that the proposed system reduces transaction risks, increases user trust, and enhances transparency throughout the digital transaction process. This research introduces a practical framework for decentralized escrow systems and provides valuable insights for industries seeking secure, blockchain-driven transaction solutions. The system developed in this study serves as a reference model for integrating traditional transaction with blockchain technology, encouraging broader adoption and future exploration of decentralized systems.
Evaluating Web Application Security Using OWASP Top 10 and NIST SP 800-115 Vierino, Farrel Tiuraka; Wahanani, Henni Endah; Junaidi, Achmad
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3702

Abstract

Cybersecurity assurance for public-facing government websites remains critical amid accelerating digital transformation. This study adopts an exploratory–evaluative research design to systematically examine and validate the security posture of the Surabaya Public Slaughterhouse (RPH Surabaya) website through an integrated application of OWASP Top 10 (2021) as a vulnerability taxonomy and NIST SP 800-115 as a procedural testing framework. The methodology follows structured planning, discovery, attack, and reporting phases. Discovery combined reconnaissance tools (Nslookup, Whois, Nmap, Dirsearch, Wappalyzer, and Google Dorking) with OWASP ZAP scanning, while attack validation employed Burp Suite, SQLMap, and browser-based developer analysis within a controlled Kali Linux environment. Thirteen potential vulnerabilities were detected, of which ten were empirically confirmed after manual verification. Confirmed weaknesses were predominantly categorized as Security Misconfiguration, including missing Anti-CSRF protections, directory browsing exposure, absent Content Security Policy and anti-clickjacking headers, outdated JavaScript libraries, insecure cookie attributes (missing HttpOnly and SameSite), lack of Strict-Transport-Security and X-Content-Type-Options headers, and user-controllable HTML attributes. The contribution lies in demonstrating a reproducible dual-framework validation pipeline that distinguishes scanner alerts from confirmed exploitability, thereby strengthening methodological rigor in public-sector web security assessment. These findings indicate systemic configuration-level risk exposure that may elevate susceptibility to XSS, CSRF, clickjacking, and injection-related threats relative to comparable public-institution websites. However, the assessment is limited to a single institutional website and an unauthenticated testing scope, constraining generalizability and deeper application-layer analysis.
Design and Development of an IoT-Based Rain Intensity Prediction System Using LoRa Arif, M.; Idhom, Mohammad; Wahanani, Henni Endah
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3704

Abstract

An Internet of Things (IoT)–based system for rain intensity monitoring and next-day prediction is presented by integrating low-power wide-area communication using LoRa with cloud-based processing for outdoor and rural environments. This study evaluates the feasibility of LoRa communication and the end-to-end operational reliability of an IoT–cloud pipeline, while positioning machine learning as a supporting decision-aid module. A low-cost sensing node equipped with temperature, humidity, and wind-speed sensors is connected to a LoRa-based gateway that forwards measurements to an Amazon EC2 cloud server via MQTT for centralized storage, processing, and notification delivery. The system is evaluated through a 10-day single-node real-world outdoor deployment, focusing on sensor data acquisition reliability, LoRa link quality, and end-to-end operation from data acquisition to user notifications. The classification module achieves an overall accuracy of 0.74 with a weighted F1-score of 0.71, while minority-class performance remains limited due to class imbalance. LoRa communication remains stable with RSSI values of −80.91 to −79.19 dBm, SNR values of 9.86–9.95 dB, and packet loss rates below 3%. By jointly evaluating LPWAN communication reliability and cloud-side predictive services within a single field deployment, the results demonstrate the practicality of LPWAN-based IoT sensing with cloud integration for rain intensity monitoring in resource-constrained environments, while highlighting the need for future improvements in minority-class prediction and multi-node scalability.
Uncovering Hidden Security Risks in Government Web Portals Using Penetration Testing and Attack Modeling Salsabila, Belia Putri; Endah Wahanani, Henni; Junaidi, Achmad
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3776

Abstract

Government web portals that consolidate public services and process personally identifiable data are prime targets for cyber adversaries. However, many existing assessments rely on single-framework methodologies that provide limited adversarial context and insufficient prioritization guidance. This study evaluates the security posture of System X, a public-facing government portal in Indonesia, using a grey-box penetration testing approach that integrates OWASP Top 10:2021, CVSS v3.1, and MITRE ATT&CK. Automated scanning using OWASP ZAP and Nessus identified 12 potential vulnerabilities, which were subsequently validated through manual testing using Burp Suite, cURL, SQLmap, and browser developer tools. The validation process confirmed nine True Positives and three False Positives, resulting in a 25% false positive rate, consistent with prior studies on government web applications. The identified vulnerabilities fall within Broken Access Control, Security Misconfiguration, and Identification and Authentication Failures, with CVSS Base Scores ranging from 4.2 to 6.1. Unlike traditional severity-based assessments, the integration of MITRE ATT&CK enables adversarial behavior mapping and reveals dependency relationships between vulnerabilities. For example, a single Content Security Policy (CSP) misconfiguration was found to enable multiple attack techniques (T1059.007), demonstrating that addressing one root cause can mitigate several related vulnerabilities simultaneously. This integrated approach enhances vulnerability prioritization by providing both severity and attacker-context insights, offering more actionable remediation strategies compared to single-framework methods. The findings contribute to improving practical security assessment methodologies for government systems and support evidence-based cybersecurity decision-making.
Co-Authors Abdi, Harris Cipta Abiyan Naufal Hilmi Achmad Junaidi Aditia Mieka Darminta Adityawati, Dewi Affro, Salma Agung Mustika Rizki Agung Mustika Rizki, Agung Mustika Agussalim Agussalim Agussalim, Agussalim Ahmad Anwar Saifurridzal Akbar, Fawwaz Ali Al Afgany, Muhammad Iqbal Al Hamda, Veqqy Ananda Azra Razali Andreas Nugroho Sihananto Anggraini Puspita Sari Anggraini Puspitasari Sari Ani Dijah Rahajoe Aniisah Eka Rahmawati Arif Saifudin, Muhamad Arif, M. Arimawan, Kesya Sakha Nesya Arrosyid, Muhammad Habib Arum Prabowo, Galih Aulia, Rhimba Az-zahra, Firlie Aurellia Bagaskara, Bregas Arya Bariq Satrio Yudoko Basuki Rahmat Masdi Siduppa Budi Mukhamad Mulyo Budi Nugroho Budianto Budianto Chystia Aji Putra Darminta, Aditia Mieka Eka Zuni Selviana Endang Sholihatin Erlangga Wicaksono, Dewa Erlina Diah Karisma Eva Yulia Puspaningrum Fadhilasari, Annisa Fetty Tri Anggraeny Fikri Dwilaksono Firza Prima Aditiawan Fitriansyah, Muhammad Daffa Hamzah Dimas Syah Reza Hermawan, Oky I Made Suartana I Nyoman Sujana idhom, Mohammad IMANDAYANTI, NUR EZA Intan Yuniar Purbasari inthan anggraini, dieas Islah Rachmawati Lina Nurlaili, Afina Made Hanindia Prami Swari Mandyartha, Eka Prakarsa Mohamad Ilham Prasetyo Raharjo Mohammad Idhom Muchammad Syamsu Huda Muhammad Abdullah Hafizh Muhammad Idhom Muhammad Rizki Alamsyah Muhammad, rizal Muttaqin, Faisal Nafa Nabila El Indri naufal firdaus, ahmad Nugroho, Budi Nugroho, Budi Nugroho, Budi Nur Firmansyah, Taufik Nurlaili, Afina Lina Phitria, Shaum Prakoso, Galih Indo Putra, Chrystia Aji Putra, Chystia Aji Putri, Della Atika Raditya Dimas Libriawan Rahmawati, Aniisah Eka Ramadhaniar, Alfi Rayhan Rizal Mahendra Retno Mumpuni Retno Mumpuni Rhiziqo Adjie Syahputra Salsabila, Belia Putri Sandy Rizkyando Sandy, Aditya Noor Saputra, Wahyu S.J. Saputro, Fajar Arif Eko Shabika Aqmarina, Azzuraa Sitompul, Pelean Alexander Jonas Soedarto, Teguh Suartana, I Made Sugiarto Sugiarto - SUGIARTO - Sukirmiyadi, Sukirmiyadi Swasti, Ika Korika Syahbagus Radithya Haryo Santoso TATI NURHAYATI Thohir, A. Zaki Thomas Andrew Imanzaghi Vierino, Farrel Tiuraka Vita Via, Yisti Wahono, Bari Hade Variant Yudha Asmara, I Wayan Zaim, Mohammad Syarifuz