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All Journal International Journal of Electrical and Computer Engineering E-Dimas: Jurnal Pengabdian kepada Masyarakat Elektrika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Teknologi Informasi dan Multimedia JATI (Jurnal Mahasiswa Teknik Informatika) Djtechno: Jurnal Teknologi Informasi Jurnal Abdi Masyarakat Indonesia Jurnal Agroekoteknologi dan Agribisnis Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Current STEAM and Education Research Journal of Applied Science, Technology & Humanities Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Inna Novianty
Department Of Software Engineering Technology, School Of Vocational Studies, IPB University, Jl. Raya Darmaga Kampus IPB, Jawa Barat 16680, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Neuroscience Physics Public Health Social Sciences Transportation Veterinary

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Implementation of Fuzzy Logic on the Feasibility of Duck Egg Quality Dhiya Rizqi Bagus Wibowo; Edmund Banyu Kauripan; Khairunnissa Zahran Ansyafa; Nabil Arif A'isy; Muhamad Fadhil; Inna Novianty; Nanda Octavia; Ivan De NeroI
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/epg4wm67

Abstract

Eggs are a staple food, with chicken eggs being the most common choice. However, duck eggs are gaining popularity due to their nutritional value. Ducks, a local poultry breed, are seeing increased interest, leading to a growth in the national duck population. Duck eggs themselves are one source of animal protein that is rich in nutrients and easily digested. Duck eggs have a very high protein content, which is 13.1 grams per 100 grams. The purpose of building a decision support system for duck egg selection is to help people choose quality duck eggs for consumption. Data collection techniques in this study use literature studies and include direct calculations and using MATLAB software to develop a Fuzzy logic system in determining the feasibility of duck egg quality. The results showed that in the example case for a duck egg that weighs 5.5 grams and then the thickness of the shell is 7.5 mm and the viscosity of the egg contents is given a number of 7, then the egg is still said to be suitable for consumption. This contributes to improving food quality in Indonesia by classifying the feasibility of eggs for public consumption.
Implementation and Comparison of Coffee Bean Drying Temperature SettingsBased on Fuzzy Logic Mohammad Ghassan Alghifari; Indah Suraswati; Kenji Restan Syahuri; David Zico Rafael Sitorus; Kevin Viriya Halim; Inna Novianty; Nanda Octavia; Ivan De Nerol
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/cj817x36

Abstract

This research examines the implementation and measurement of temperature in drying coffee beansusing a fuzzy logic approach. Two main methods, namely the Mamdani Method and the SugenoMethod, were applied and evaluated in this context. Data on temperature, humidity, and water contentof coffee beans are collected during the drying process for use in the implementation of both methods.Implementation is carried out using MATLAB software, with detailed steps for each method. TheMamdani method involves fuzzification processes, inference using fuzzy rules, and defuzzification toobtain concrete values for temperature settings. Meanwhile, the Sugeno Method also involvesfuzzification of input data, but uses a linear fuzzy model for inference, so it does not require adefuzzification stage. The results and discussion of this study highlight the performance differencesbetween the two methods. Evaluation is carried out based on temperature prediction accuracy andenergy efficiency. The Mamdani Method shows good accuracy in predicting temperature, while theSugeno Method highlights efficiency and efficiency in the temperature regulation process. Therefore,this study provides valuable insight into selecting a suitable method for temperature regulation ofcoffee bean dryers
MycoTrack: An Integrated Web and YOLOv5-Based Intelligent System for Monitoring and Predicting Wood Ear Mushroom Maturity Wuliddah Tamsil Barokah; Dwi Putra Kunto Anggoro; Nabil Kurnia Rozano; Ariel Mughnika Beers; Inna Novianty; Dodik Ariyanto; Lathifunnisa Fathonah
Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 2 (2026): March 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/kfkect89

Abstract

Wood ear mushroom (Auricularia auricula-judae) cultivation requires strict environmental control and accurate harvest monitoring. To overcome the shortcomings of labor-intensive and error-prone manual inspection, this research developed MycoTrack, an intelligent system integrating rail-based robotics, YOLOv5 computer vision, and IoT sensors. MycoTrack utilizes a rail-based robot powered by a Raspberry Pi 4. The robot carries a Pi Camera for visual data acquisition and DHT-22 sensors to measure environmental temperature and humidity. This environmental data is continuously monitored and transmitted to a web-based dashboard for real-time visualization, providing instantaneous decision support to farmers. The YOLOv5 model is specifically trained to detect three critical growth phases—incubation, pinning, and fruiting—which enables the prediction of optimal harvest timing. System validation showed DHT-22 sensor accuracy of 96.4% and the YOLOv5 model achieved a mAP@50 of 0.782 with inference speeds suitable for edge devices. The rail robot demonstrated minimal positional deviation (less than 2.3 cm). MycoTrack offers an accessible, automated solution, representing an advancement in precision agriculture for mushroom cultivation. The system is modularly designed for easy adaptation to other mushroom environments and species.
PENGEMBANGAN SISTEM INFORMASI RESERVASI DAN MANAJEMEN VILLA MENGGUNAKAN METODE SPRINT: Rafi Fakhri Alaudin; Muhammad Prima Yudhistira; Aretta Dwi Hapsari; Alhamid Adriansyah; Aditya Wicaksono; Inna Novianty
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 1 (2026): JATI Vol. 10 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i1.16620

Abstract

Penelitian ini dilatarbelakangi oleh proses reservasi di Villa Luwihaja Hill yang masih manual dan bergantung pada platform pihak ketiga, sehingga menyulitkan pengelolaan data, berisiko menimbulkan kesalahan, dan menurunkan efisiensi operasional. Permasalahan utama yang dihadapi pengelola adalah tidak adanya sistem terpadu untuk mengatur reservasi, manajemen kamar, transaksi, dan interaksi dengan tamu secara terpusat. Penelitian ini bertujuan merancang sistem informasi reservasi dan manajemen villa berbasis web yang mampu menggantikan proses terfragmentasi menjadi satu platform terintegrasi sesuai kebutuhan operasional Villa Luwihaja Hill. Metode yang digunakan adalah Sprint sebagai bagian dari Agile Scrum melalui tahapan product backlog, sprint planning, execution, testing, dan review untuk menghasilkan rancangan sistem secara iteratif dan terstruktur. Hasil penelitian berupa prototipe fidelitas tinggi yang mencakup halaman pemesanan publik dan panel admin untuk pengelolaan kamar, reservasi, pembayaran, refund, ulasan, dan konten, yang terbukti dapat memperjelas kebutuhan fungsional serta menjadi dasar pengembangan sistem reservasi yang lebih efisien dan profesional bagi Villa Luwihaja Hill
Artificial Neural Network-Based Classification of Water Quality Status in Ornamental Fish Farming Using IoT Sensor Data Nur Aziezah; Walidatush Sholihah; Faldiena Marcelita; Inna Novianty; Andri Hendriana; Ima Kusumanti
Current STEAM and Education Research Vol. 3 No. 3 (2025): Current STEAM and Education Research, Volume 3 Issue 3, December 2025
Publisher : MJI Publisher by PT Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/cser.030302

Abstract

Water quality plays an important role in sustainable agriculture. Water quality also affects the quality and quantity of fishery production. In ornamental fish cultivation, water quality influences not only production, but also the shape and color of the fish. To achieve optimal results, water quality parameters need to be maintained. Manually monitoring water quality parameters faces many challenges such as being time-consuming and not providing real-time data. This study investigated the application of Artificial Neural Networks (ANNs) in classifying water quality status. This status is based on data collected using sensors in an Internet of Things (IoT)-based monitoring system. The dataset comprised five key parameters: pH, temperature, ammonia, total dissolved solids (TDS), and total suspended solids (TSS). This data was collected from aquariums cultivating the Denison barb (Sahyadria denisonii). Data preprocessing was performed using feature standardization. This aims to improve model performance. The ANN model was constructed with two hidden layers (32 and 16 neurons). This model was trained using the Adam optimizer, with categorical cross-entropy as the loss function. The dataset was divided into 80% for training and 20% for testing. The trained ANN model achieved an accuracy of 99.95%. It has low false-positive and false-negative rates. These results demonstrate the effectiveness of ANN in predicting water quality status using sensor-based data. This suggests its potential for real-time monitoring and decision-making support in small-scale ornamental fish aquaculture.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI LAYANAN TES KEPRIBADIAN SAINTARA BERBASIS WEBSITE Zaskia Alyssa Putri; Muhammad Fitrah; Banu Pandara; Haitsam Izzaturrahman; Vezajiva Ariesta Maheswari; Aditya Wicaksono; Inna Novianty
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.v6i3.7988

Abstract

Layanan tes kepribadian berbasis web menjadi salah satu solusi untuk membantu pengguna memahami jati diri secara mudah. Namun, masih banyak platform yang kurang informatif, tidak interaktif, serta tidak menyediakan hasil analisis yang komprehensif. Penelitian ini bertujuan untuk mengembangkan sebuah website layanan tes kepribadian SAINTARA yang menyediakan layanan tes kepribadian, informasi karakter kepribadian dan rekomendasi pengembangan diri. Metode pengembangan yang digunakan adalah prototype dengan tahapan communication, quick plan, modeling quick design, construction of prototype, deployment delivery & feedback. Website dirancang dengan hak akses yang berbeda untuk individual customer, admin customer, dan admin SAINTARA. Fitur utama yang dikembangkan meliputi proses registrasi dan login, pelaksanaan tes kepribadian, penyajian hasil tes kepribadian, serta dashboard admin untuk mengelola data pengguna. Website yang dihasilkan berhasil memfasilitasi proses layanan tes kepribadian yang cepat dan terstruktur, memungkinkan individual customer mendapatkan hasil tes kepribadian secara langsung. Pengembangan website SAINTARA menjadi solusi efektif untuk mengatasi kendala keterbatasan partisipasi pengguna, sehingga mendukung upaya keberlanjutan layanan tes kepribadian sebagai sarana pengembangan diri di era digital.
Pengembangan Aplikasi Berbasis Kecerdasan Buatan untuk Diagnostik Penyakit dan Optimalisasi Ekosistem Akuarium Zolla Perdana Putra Harahap; Maulana Irfan; Farhan Hakim; Adrian Fardan Andi; Aditya Wicaksono; Gema Parasti Mindara; Inna Novianty; Lathifunnisa Fathonah; Endang Purnama Giri
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 01 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i01.235

Abstract

Indonesia boasts a high diversity of ornamental fish species, both freshwater and marine, making it a significant commodity in the global market. However, the high mortality rate of ornamental fish due to a lack of knowledge about disease diagnosis and aquarium ecosystem management remains a major challenge. To address this issue, FishCo was developed as an AI-based application designed to assist ornamental fish owners, particularly beginners, in diagnosing diseases and managing aquarium ecosystems. FishCo offers features such as disease diagnosis using Convolutional Neural Network (CNN) technology, ecosystem setup recommendations tailored to specific fish species, and consultations via FishBot. The application is built as a cross-platform solution, with a backend powered by Laravel and a mobile application developed in Android Studio using the Java programming language. Testing has shown that FishCo can accurately identify diseases, provide appropriate recommendations, and receive positive feedback from users. This application is expected to enhance the success rate of ornamental fish care, reduce mortality rates, and contribute to the preservation of Indonesia’s aquatic biodiversity.
Sistem Pengelolaan Toko Hewan Peliharaan Petify Berbasis Website Zafira A’idah Gunawan; Fadilla Julianifa Putri; Raina Disa Wibowo; Cahaya Elisabet Butarbutar; Hanin Putri Sholiha; Aditya Wicaksono; Gema Parasti Mindara; Inna Novianty; Lathifunnisa Fatonah; Endang Purnama Giri
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 01 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i01.590

Abstract

Manual operational data management in pet shops often causes problems, such as inaccurate stock data, difficulty in tracing transaction history, and inefficient services. The goal of this study is to create and build a website-based pet shop management system called Petify. This system was developed to provide an integrated platform for administrators to centrally manage product data, grooming services, scheduling, transactions, and suppliers. The system development method used is the Waterfall model, which includes the stages of requirements analysis, system design, implementation, and testing. In the system design stage, system modeling was carried out using ERD and DFD, as well as user interface (UI/UX) designs tailored to the needs of administrators. The result of this research is a website-based information system that can replace manual recording and simplify store operations. Based on system testing using the Black Box Testing method with the Equivalence Partitioning approach, all functional features of the system were proven to work well and valid according to user needs. The implementation of Petify is expected to improve store management efficiency and service quality for customers.
Pemberdayaan Masyarakat melalui Penerapan Pirolisis Berbasis Internet of Things untuk Peningkatan Kapasitas Pengelolaan Sampah Plastik di Kelurahan Mulyaharja, Bogor Lathifunnisa Fathonah; Inna Novianty; Gema Parasti; Dodik Ariyanto; Faldiena Marcelita; Ridwan Siskandar; Bayu Widodo; Irmansyah Irmansyah; Liora Taya; Laila Nur Azizah
Jurnal Abdi Masyarakat Indonesia Vol 6 No 1 (2026): JAMSI - Januari 2026
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.2496

Abstract

Kelurahan Mulyaharja, Kota Bogor, menghadapi permasalahan tingginya volume sampah plastik rumah tangga yang belum terkelola dengan baik. Sebagian sampah dibakar atau dibuang ke lingkungan sekitar, sehingga menimbulkan pencemaran dan risiko kesehatan masyarakat. Program pengabdian ini menerapkan teknologi pirolisis berbasis Internet of Things (IoT) untuk mengonversi sampah plastik menjadi bahan bakar alternatif melalui pendekatan participatory community-based implementation. Metode kegiatan meliputi analisis kebutuhan, perancangan dan pembuatan alat, pelatihan, serta pendampingan operasional bagi warga Kelurahan Mulyaharja. Hasil pengabdian menunjukkan bahwa prototipe pirolisis berbasis IoT berhasil beroperasi stabil pada skala komunitas. Sebanyak lebih dari 70% warga peserta mampu mengoperasikan alat secara mandiri sesuai prosedur keselamatan kerja. Hasil survei menunjukkan 76% warga sangat peduli terhadap lingkungan, dan 86% menyatakan kegiatan ini memberikan manfaat nyata. Selain itu, terjadi penurunan praktik pembakaran dan pembuangan sampah ke sungai, serta mulai terbentuk kelompok pengelola alat berbasis masyarakat. Produk minyak hasil pirolisis telah dimanfaatkan sebagai bahan bakar alternatif untuk peralatan sederhana. Program ini memperkuat kapasitas masyarakat dalam pengelolaan sampah, mendukung keberlanjutan teknologi berbasis komunitas, serta mendorong koordinasi antara warga, pengurus RW, dan kelurahan.
SOUND RECORD “SELAMAT DATANG DI CURUG CIKONENG” DAN LAMPU OTOMATIS BERBASIS MOTION GESTURE Afifah Rodhiyatun Nisa; Ade Riyanti; Ghani Trie Aqeela Ramadhani; Ihda Rahmadaniar; Muhammad Rafi Ari Ghani; Muhammad Rafid Habibi Tambunan; Wafi Hawali; Inna Novianty
Elektrika Vol. 16 No. 1 (2024): April 2024
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v16i1.8280

Abstract

Turning on the lights in the room is still done manually by pressing the light button. Switches, as electrical devices, are used to turn lights on or off. There are many innovative ways to make human tasks easier, one of which is by using motion sensors that replace manual switches. This research uses a motion sensor as a control to flow or cut off electric current without any physical contact between the user and the device being controlled. This research is the development of an ESP32-based system as a Wi-Fi module that integrates sound technology, automatic lights, and food ordering buttons connected to the Blynk application. This research is designed to provide innovative solutions in organizing the environment and services of a food court. The sound system is implemented through the ESP32 to record and play sound as needed. Automatic lights use PIR sensors to detect movement and control lighting automatically. The food ordering button integrates with the Blynk app allowing real-time monitoring of button activity to manage orders more effectively. The test and evaluation results show that this research succeeded in achieving its objectives well. This system can increase user comfort, energy efficiency, and provide monitoring through the Blynk application. Further analysis can be performed to improve functionality and adapt this system to specific user needs. Keywords: Blynk, ESP32, Lights, Monitoring, Motion Snesor. ABSTRAKUntuk menyalakan lampu di dalam ruangan masih dilakukan secara manual dengan menekan tombol lampu. Saklar, sebagai perangkat listrik, digunakan untuk menghidupkan atau mematikan lampu. Ada banyak cara inovatif untuk mempermudah tugas manusia, salah satunya adalah dengan menggunakan sensor gerak yang menggantikan saklar manual. Penelitian ini menggunakan sensor gerak sebagai kontrol untuk mengalirkan atau memutus arus listrik tanpa adanya kontak fisik antara pengguna dan perangkat yang dikendalikan. Penelitian ini merupakan pengembangan sistem berbasis ESP32 sebagai modul Wi-Fi yang mengintegrasikan teknologi suara, lampu otomatis, dan tombol pemesanan makanan yang terhubung dengan aplikasi Blynk. Penelitian ini dirancang untuk memberikan solusi inovatif dalam pengaturan lingkungan dan layanan sebuah food court. Sistem suara diimplementasikan melalui ESP32 untuk merekam dan memutar suara sesuai kebutuhan. Lampu otomatis menggunakan sensor PIR untuk mendeteksi gerakan dan mengontrol pencahayaan secara otomatis. Tombol pemesanan makanan terintegrasi dengan aplikasi Blynk yang memungkinkan pemantauan secara real-time dari aktivitas tombol untuk mengelola pesanan dengan lebih efektif. Hasil pengujian dan evaluasi menunjukkan bahwa penelitian ini berhasil mencapai tujuannya dengan baik. Sistem ini dapat meningkatkan kenyamanan pengguna, efisiensi energi, dan memberikan pemantauan melalui aplikasi Blynk. Analisis lebih lanjut dapat dilakukan untuk meningkatkan fungsionalitas dan menyesuaikan sistem ini dengan kebutuhan spesifik pengguna.
Co-Authors Ade Riyanti Aditya Wicaksono Adrian Fardan Andi Afifah Rodhiyatun Nisa Ahmad Farrell Raafii Alaiyya Al-Attas Alhamid Adriansyah Allegra Alif Rahman Anggi Mardiyono Anifatul Faricha Anton Wira Pratama Aqim Try Kurnia Arda Dwiyana Aretta Dwi Hapsari Ariel Mughnika Beers Arni Diana Fitri Banu Pandara Baracahya Panata Cendikia Rahayu Bayu Widodo Cahaya Elisabet Butarbutar Daryn Ramadhani Az Zahra David Zico Rafael Sitorus Dhiya Rizqi Bagus Wibowo Dodik Ariyanto Dwi Putra Kunto Anggoro Edmund Banyu Kauripan Endang Purnama Giri Fadilla Julianifa Putri Fami, Amata Farhan Hakim Fathonah, Lathifunnisa Gema Parasti Gema Parasti Mindara Gesit Tri Nugroho Ghani Trie Aqeela Ramadhani Gilang Ayuningtyas Hafiz Agi Alfasih Haitsam Izzaturrahman Hanin Putri Sholiha Hendriana, Andri Ihda Rahmadaniar Ima Kusumanti Indah Suraswati Irmansyah Irmansyah Ivan De NeroI Ivan De NeroI Ivan De Nerol Ivan De Nerol Keinanjung Ruswandi Kenji Restan Syahuri Kevin Viriya Halim Khairunnissa Zahran Ansyafa Laila Nur Azizah Lathifunnisa Fatonah Liora Taya Lutfi Aziz Febrika Ardy Mahatmadi Ariq Mayangkara Mahatmadi Ariq Mayangkara Marcelita, Faldiena Maulana Irfan Mega Romadhona Mohammad Ghassan Alghifari Mohammad Iqsan Syachranie Muhamad Al Habsy Muhamad Fadhil Muhamad Reza Zulva Pohan Muhammad Achirul Nanda Muhammad Fakhri Alauddin Muhammad Fitrah Muhammad Prima Yudhistira Muhammad Rafi Ari Ghani Muhammad Rafid Habibi Tambunan Muhammad Rafid Habibi Tambunan Muhammad Rizky Caesar Nabil Arif A'isy Nabil Kurnia Rozano Nanda Octavia Nanda Octavia Nanda Octavia Nur Aziezah Nurul Ulfa Ashilah Nurulhaq, Muhammad Iqbal Pradeka Brilyan Purwandoko Pria Sembada Priyambodo, Danang Putri Jasmin Rafi Fakhri Alaudin Raina Disa Wibowo Ridwan Siskandar Rismen Sinambela Sholihah, Walidatush Sofiyanti Indirasari Sofiyanti Indriasari Stephen Nathaniel Tera Fit Rayani Vezajiva Ariesta Maheswari Wafi Hawali Wafi Hawali Walidatush Sholihah Wuliddah Tamsil Barokah Yana Nurrohman Yudawan Aditama Yuni Resti Zafira A’idah Gunawan Zaskia Alyssa Putri Zolla Perdana Putra Harahap